Peng Sun

Conference Communications in Computer and Information Science · January 1, 2026 Federated learning is an essential contributor to future-generation digital ecosystems, but currently has two challenges: how to ensure communication efficiency and simultaneously provide Byzantine resilience. The current methods frequently focus on either ... Full text Cite

An Online Evolutive Framework for Cross-Subject EEG Emotion Recognition

Conference Communications in Computer and Information Science · January 1, 2026 Electroencephalography (EEG)-based emotion recognition has attracted growing attention due to its potential in healthcare and human-computer interaction. A major challenge in this domain lies in the high inter-subject variability of EEG signals, which sign ... Full text Cite

Identify Neural Areas for Bilingual by Interpreting EEG-Based Deep Learning Models

Conference Communications in Computer and Information Science · January 1, 2026 Currently, the research on bilingualism is a challenging task. This topic has captured the attention of many researchers. Inspired by the robust performance of the deep learning model, we propose to reveal the underlying characteristics of brain activity i ... Full text Cite

Unleashing the Potential of Transformers: An Efficient Inference Framework with Split Learning

Conference Communications in Computer and Information Science · January 1, 2026 Although split learning has been widely applied to simpler models such as CNNs, its use in Transformer-based architectures remains underexplored. This study introduces Split-LLM and Split-ViT, two architectures that support efficient computation sharing fo ... Full text Cite

Unlocking the Power of LSTM for Long Term Time Series Forecasting

Conference Proceedings of the Aaai Conference on Artificial Intelligence · April 11, 2025 Traditional recurrent neural network architectures, such as long short-term memory neural networks (LSTM), have historically held a prominent role in time series forecasting (TSF) tasks. While the recently introduced sLSTM for Natural Language Processing ( ... Full text Cite

DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions

Conference Proceedings of the Aaai Conference on Artificial Intelligence · April 11, 2025 As a potential application of Vehicle-to-Everything (V2X) communication, multi-agent collaborative perception has achieved significant success in 3D object detection. While these methods have demonstrated impressive results on standard benchmarks, the robu ... Full text Cite

Align Before Collaborate: Mitigating Feature Misalignment for Robust Multi-agent Perception

Conference Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics · January 1, 2025 Collaborative perception has received widespread attention recently since it enhances the perception ability of autonomous vehicles via inter-agent information sharing. However, the performance of existing systems is hindered by the unavoidable collaborati ... Full text Cite

Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · January 1, 2025 Crime prediction (CP) plays a pivotal role in urban analytics, contributing significantly to personal safety and societal stability. Unlike conventional time series forecasting, CP faces unique difficulties due to the inherent sparsity of crime incidents, ... Full text Cite

A Heterogeneous Data-Driven Multi-Sensor Collaborative Small Target Detection Method for Road Safety in Bad Weather

Conference IEEE International Conference on Communications · January 1, 2025 Autonomous driving (AD) systems requires multisensor collaboration to address challenges caused by complex weather scenarios. The recognition accuracy of autonomous driving system based on single resource, either on image only or Lidar only, becomes unreli ... Full text Cite

Adversarial Collaborative Perception in Autonomous Driving

Conference Proceedings IEEE International Symposium on Distributed Simulation and Real Time Applications Ds RT · January 1, 2025 As autonomous vehicles gain popularity, ensuring their safety and security becomes important. Multi-agent Collaborative Perception (MACP) enhances autonomous cars' perception capabilities. Despite its benefits, MACP is vulnera-ble to adversarial attacks, w ... Full text Cite

Efficient Deep Learning Architectures for Real-Time Modulation Classification in Low-SNR Cognitive Radio Networks

Conference Proceedings IEEE International Symposium on Distributed Simulation and Real Time Applications Ds RT · January 1, 2025 This paper presents a simulation-based comparison of deep learning and reinforcement learning (RL) architectures for automatic modulation classification (AMC) under low-SNR conditions and real-time constraints. We benchmark a robust convolutional neural ne ... Full text Cite

Hybrid Approaches to Trajectory Prediction in Autonomous Driving

Conference Proceedings IEEE International Symposium on Distributed Simulation and Real Time Applications Ds RT · January 1, 2025 Predicting how multiple road users move is crucial for autonomous driving, but accuracy, reliability, and clarity are often hard to balance. This paper reviews hybrid methods that combine kinematic, map, and behavioral information with data-driven models. ... Full text Cite

SVR-YOLO11: Real-Time Animal Detection for Situational Awareness in SAR Operations

Conference Proceedings IEEE International Symposium on Distributed Simulation and Real Time Applications Ds RT · January 1, 2025 Real-time animal detection in search-and-rescue (SAR) operations represents a critical challenge for situational awareness systems, particularly when deploying lightweight solutions on resource-constrained edge computing platforms. Current detection method ... Full text Cite

A Novel Deep Learning-Enabled Typhoon Trajectory Prediction Method

Conference Proceedings IEEE International Symposium on Distributed Simulation and Real Time Applications Ds RT · January 1, 2025 In this study, to reduce the harm of the social and economic impacts of typhoons, a novel CNN-Transformer En-coder hybrid model is proposed to predict the typhoon trajectory for the previous preparation of typhoons, designed to support real-time simulation ... Full text Cite

A Coordinated Perception Control Simulation Framework Based on Online Evolutive Learning

Conference Mswim 2025 27th International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems · January 1, 2025 In artificial intelligence, enhancing agents' perception and decision-making in physical environments is a key research focus. Perception and control, as essential components of task execution, interact closely and jointly determine system performance. Tra ... Full text Cite

Achieving Linear Scalability in Networked AI: A Coordinated Sensing and Control Approach

Conference Proceedings of the IEEE World Forum on Internet of Things Wf Iot · January 1, 2025 Deploying end-to-end models that integrate perception and control on Internet of Things (IoT) devices is crucial for creating smart, autonomous systems. However, their tightly coupled nature often leads to high model complexity and substantial data demands ... Full text Cite

Improving Diversity and Efficiency in Content-based Recommender Systems: A Genetic Algorithm Approach

Conference Proceedings IEEE Symposium on Computers and Communications · January 1, 2025 In the contemporary digital landscape, individuals are often overwhelmed by the plethora of choices available, including articles, the focus of this article. This paper explores recommender systems aimed at enhancing diversity and mitigating the homogeneit ... Full text Cite

FENSe: Feedback-Enabled Neighbor Selection for Spatial Aware Collaborative Perception

Conference Proceedings of the International Conference on Parallel and Distributed Systems ICPADS · January 1, 2025 Collaborative perception aims to enhance the ego vehicle's detection capability by integrating valuable perception data from neighbor vehicles. A critical challenge in collaborative perception systems is managing the trade-off between communication overhea ... Full text Cite

M2S2L: Mamba-based Multi-Scale Spatial-temporal Learning for Video Anomaly Detection

Conference 2025 International Conference on Visual Communications and Image Processing Vcip 2025 · January 1, 2025 Video anomaly detection (VAD) is an essential task in the image processing community with prospects in video surveillance, which faces fundamental challenges in balancing detection accuracy with computational efficiency. As video content becomes increasing ... Full text Cite

An Event Stream Assisted Link Adaptation Framework for Internet-of-Vehicles

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2025 In the Internet of Vehicles (IoV) communications, high user mobility induces rapidly time-varying wireless channels, making the accurate acquisition of channel state information (CSI) challenging. This variability substantially complicates the development ... Full text Cite

Communication-Efficient Multi-Agent Collaborative Perception via Spatio-Temporal Heterogeneity

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2025 Multi-agent collaborative perception enables a single agent to perceive the comprehensive scene by exchanging sensory information using vehicle-to-everything communication. However, the communication resources of real-world communication systems are often ... Full text Cite

MF-AttnBiLSTM: Traffic Flow Prediction via Hybrid Signal Decomposition and Dual-Stream Temporal Attention Learning

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2025 Accurate traffic flow prediction is crucial for intelligent transportation systems supporting emerging applications such as autonomous driving and vehicle-infrastructure cooperation. However, existing methods often struggle to effectively disentangle the i ... Full text Cite

SK-SVR-CNN: A Hybrid Approach for Traffic Flow Prediction with Signature PDE Kernel and Convolutional Neural Networks

Conference IEEE International Conference on Communications · January 1, 2024 Intelligent Transportation Systems (ITS) have garnered considerable attention as a potential solution for addressing the conflict between the increasing demand for transportation and the constraints within transportation infrastructure. One pivotal facet o ... Full text Cite

Towards Quantification of Covid-19 Intervention Policies from Machine Learning-based Time Series Forecasting Approaches

Conference IEEE International Conference on Communications · January 1, 2024 COVID-19 has become the most devastating infectious disease of the 21st century. Governments worldwide devised a range of policies to control the pandemic and reduce losses in multiple aspects. To make timely and wise decisions, a thorough analysis of poli ... Full text Cite

Guidelines for Parameter Selection in Traffic Light Control Methods Using Reinforcement Learning: Insights from Empirical Studies

Conference IEEE International Workshop on Quality of Service Iwqos · January 1, 2024 The ever-changing traffic dynamics make the traditional traffic signal control methods unable to adapt to the environment. Meanwhile, deep reinforcement learning (DRL) has the property of interacting with the environment and adapting to changes in the envi ... Full text Cite

ERMVP: Communication-Efficient and Collaboration-Robust Multi-Vehicle Perception in Challenging Environments

Conference Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition · January 1, 2024 Collaborative perception enhances perception performance by enabling autonomous vehicles to exchange complementary information. Despite its potential to revolutionize the mobile industry, challenges in various environments, such as communication bandwidth ... Full text Cite

A Novel Machine Learning Model for Alzheimer's Disease (AD) Medical Image Analysis

Conference 2024 IEEE 10th World Forum on Internet of Things Wf Iot 2024 · January 1, 2024 This study introduces a machine learning model to classify individuals as Alzheimer's Disease (AD) patients, Mild Cognitive Impairment (MCI) sufferers, or Cognitively Normal (CN) volunteers, using axial T2*-weighted MRI scans from the ADNI database. Our ap ... Full text Cite

Open Service for Networking Systems of AI: A Case Study in Adaptation Optimization

Conference 2024 IEEE 10th World Forum on Internet of Things Wf Iot 2024 · January 1, 2024 Under the architecture of Networking Systems of AI (NSAI), we propose a three-tier edge computing platform called Open Service for NSAI (OpenSAI), which can jointly configure the application execution and compute-storage-network resources, for online appli ... Full text Cite

'Less Knowledge is Less' - An Empirical Study of Intelligent Traffic Signal Network Efficiency Under Partial Information

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2024 This article investigates the influence of limited information on the efficacy of traffic signal control algorithms for supporting Intelligent Transportation Systems. Our project has collected several classic and trending intelligent traffic signal control ... Full text Cite

Collaborative Object Detection and Localization For Supporting Autonomous Driving

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2024 Autonomous driving technology has become increasingly important in recent years, with the potential to revolutionize transportation systems and improve road safety. Vision-based methods have long been used in this field, but the major challenges in object ... Full text Cite

A New Online Evolutive Optimization Method for Driving Agents

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2024 As one of the research objects in machine learning, agents are endowed with the ability to perceive and make decisions. In order to meet the needs of different applications, many researchers focus on algorithms for controlling agents. In most current parad ... Full text Cite

What2comm: Towards Communication-efficient Collaborative Perception via Feature Decoupling

Conference Mm 2023 Proceedings of the 31st ACM International Conference on Multimedia · October 27, 2023 Multi-agent collaborative perception has received increasing attention recently as an emerging application in driving scenarios. Despite advancements in previous approaches, challenges remain due to redundant communication patterns and vulnerable collabora ... Full text Cite

A Novel Efficient Multi-View Traffic-Related Object Detection Framework

Conference ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings · January 1, 2023 With the rapid development of intelligent transportation system applications, a tremendous amount of multi-view video data has emerged to enhance vehicle perception. However, performing video analytics efficiently by exploiting the spatial-temporal redunda ... Full text Cite

Heuristic Methods for Solving the Traveling Salesman Problem (TSP): A Comparative Study

Conference IEEE International Symposium on Personal Indoor and Mobile Radio Communications PIMRC · January 1, 2023 The Traveling Salesman Problem (TSP) is an important NP-Hard combinatorial problem worth studying in Computer Science, Mathematical Optimization, and Operations Research. Heuristic methods are often employed in looking for a nearly-optimized solution for T ... Full text Cite

A Novel Multi-Factor Aware Online Scheduling Method for Improving Vehicular Edge Computing Efficiency

Conference IEEE International Conference on Communications · January 1, 2023 Vehicular Edge Computing (VEC), as one of the major components of Intelligent Transportation Systems, improves road safety by providing computing services to safety-related applications on vehicles. Currently, the existing fine-grained computing scheduling ... Full text Cite

SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory

Conference IEEE Conference on Intelligent Transportation Systems Proceedings ITSC · January 1, 2023 Accurately predicting the destination of taxi trajectories can have various benefits for intelligent location-based services. One potential method to accomplish this prediction is by converting the taxi trajectory into a two-dimensional grid and using comp ... Full text Cite

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks

Conference IEEE Conference on Intelligent Transportation Systems Proceedings ITSC · January 1, 2023 Traffic data serves as a fundamental component in both research and applications within intelligent transportation systems. However, real-world transportation data, collected from loop detectors or similar sources, often contains missing values (MVs), whic ... Full text Cite

Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception

Conference Proceedings of the IEEE International Conference on Computer Vision · January 1, 2023 Multi-agent collaborative perception as a potential application for vehicle-to-everything communication could significantly improve the perception performance of autonomous vehicles over single-agent perception. However, several challenges remain in achiev ... Full text Cite

A Novel Robust Reinforcement Learning-based Dependent Task Offloading Algorithm for Mobile Edge Intelligence

Conference Proceedings of the International Conference on Parallel and Distributed Systems ICPADS · January 1, 2023 With the rise of advanced applications based on Artificial Intelligence (AI) and Internet-of-Things (IoT), mobile devices have become more intelligent, introducing a novel concept, Mobile Edge Intelligence. But the limited on-board resources often hinder t ... Full text Cite

A Lightweight IoT Device-friendly Anomaly Sitting Posture Detector for Protecting Adolescent Bone Development

Conference Proceedings IEEE Congress on Cybermatics 2023 IEEE International Conferences on Internet of Things Ithings 2023 IEEE Green Computing and Communications Greencom 2023 IEEE Cyber Physical and Social Computing Cpscom 2023 and IEEE Smart Data Smartdata 2023 · January 1, 2023 In recent years, people have tended to spend a lot of time sitting while unconsciously having bad posture. Research has shown that bad sitting poses, for instance, sitting cross-legged, could lead to serious spinal disorders, including thoracic spine tilti ... Full text Cite

An Online Deepsort-Based Vehicle Tracking Method for Supporting Realtime Vehicle Surveillance

Conference Proceedings 2023 3rd International Conference on Networking Systems of AI Insai 2023 · January 1, 2023 Nowadays, online vehicle tracking and counting are important ways to manage traffic flow and mitigate traffic congestion. In this paper, we conduct the empirical study of classical online tracking methods including SORT and DeepSORT. Specific details and d ... Full text Cite

An Optimal DCP-Based Defogging Method of Improving Objects Detection in Adverse Weather

Conference Proceedings 2023 3rd International Conference on Networking Systems of AI Insai 2023 · January 1, 2023 As one of the most important components of practical autonomous driving technology, designing efficient and reliable object detection methods has been the focus of attention in academic and industrial circles for recent years. Fortunately, by taking advant ... Full text Cite

Modern Deep Learning-Based Object Detection Methods for Supporting Intelligent Transportation Systems: A Comparative Study

Conference Proceedings 2023 3rd International Conference on Networking Systems of AI Insai 2023 · January 1, 2023 With the rise of autonomous driving, road object detection has become increasingly important as part of intelligent transportation systems (ITS). At the current stage, a large proportion of newly published road-related object detection methods are now mach ... Full text Cite

Average Age Upon Decisions of Wireless Networks with Truncated HARQ in the Finite Blocklength Regime

Conference Mswim 2022 Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems · October 24, 2022 We consider an update-and-decide IoT-based wireless network, where information packets generated from dual sources are co-stored in the transmitter's buffer, while decisions are made at the destination. Two practical assumptions about the communications be ... Full text Cite

18th ACM Q2SWinet Chairs' Welcome

Conference Q2swinet 2022 Proceedings of the 18th ACM International Symposium on Qos and Security for Wireless and Mobile Networks · October 24, 2022 Full text Cite

A Novel Mixed Method of Machine Learning Based Models in Vehicular Traffic Flow Prediction

Conference Mswim 2022 Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems · October 24, 2022 How to effectively improve the efficiency of vehicle traffic in the road system will play an essential role in improving the operational efficiency of the traffic system while eliminating the energy consumption and environmental pollution problems caused i ... Full text Cite

MF-Net: A Novel Few-shot Stylized Multilingual Font Generation Method

Conference Mm 2022 Proceedings of the 30th ACM International Conference on Multimedia · October 10, 2022 Creating a complete stylized font library that helps the audience to perceive information from the text often requires years of study and proficiency in the use of many professional tools. Accordingly, automatic stylized font generation in a deep learning- ... Full text Cite

Towards A Practical Pedestrian Detection Method for Supporting Autonomous Driving

Conference IEEE International Conference on Communications · January 1, 2022 In recent years, people have paid more and more attention to the operational efficiency of the transportation system and the corresponding traffic safety and energy consumption issues. As a possible solution, with the improvement of vehicle detection capab ... Full text Cite

A Novel Time Efficient Machine Learning-based Traffic Flow Prediction Method for Large Scale Road Network

Conference IEEE International Conference on Communications · January 1, 2022 How to effectively improve the traffic efficiency of the road network plays a crucial role in ensuring the regular operation of modern society. This is also a key concern in the field of intelligent transportation systems. As the basis for formulating traf ... Full text Cite

A Novel Distributed Task Scheduling Framework for Supporting Vehicular Edge Intelligence

Conference Proceedings International Conference on Distributed Computing Systems · January 1, 2022 In recent years, data-driven intelligent transportation systems (ITS) have developed rapidly and brought various AI-assisted applications to improve traffic efficiency. However, these applications are constrained by their inherent high computing demand and ... Full text Cite

CU-DRL: A Novel Deep Reinforcement Learning-assisted Offloading Scheme for Supporting Vehicular Edge Computing

Conference Proceedings of the International Symposium on Wireless Communication Systems · January 1, 2022 In recent years, data-driven and AI-based intelligent transportation systems have been greatly developed to alleviate the public's concern about the increasingly severe traffic congestion and traffic safety issues. For supporting various safety-related ITS ... Full text Cite

SFL: A High-precision Traffic Flow Predictor for Supporting Intelligent Transportation Systems

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2022 As a potential solution to the growing conflict between the increasing demand for transportation and the limited capacity of transportation infrastructure, Intelligent Transportation Systems have gained considerable attention for their effectiveness in imp ... Full text Cite

A Novel Deep Reinforcement Learning-based Automatic Stock Trading Method and a Case Study

Conference 2022 IEEE 1st Global Emerging Technology Blockchain Forum Blockchain and Beyond Igetblockchain 2022 · January 1, 2022 As the most important capital market, how formulating a reasonable stock trading strategy to improve capital return and reduce trading risk has always been the focus of people's attention. In recent years, with the development of data-driven AI technology, ... Full text Cite

A Novel Machine Learning-assisted Pairs Trading Approach for Trading Risk Reduction

Conference 2022 IEEE 1st Global Emerging Technology Blockchain Forum Blockchain and Beyond Igetblockchain 2022 · January 1, 2022 The cryptocurrency market has been growing rapidly in recent years. The volume of transactions and the number of participants in the cryptocurrency market makes it huge enough that we cannot ignore it. At the same time, the global stock market has also rea ... Full text Cite

11th ACM DIVANet Chairs Welcome

Conference Divanet 2021 Proceedings of the 11th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications · November 22, 2021 Cite

A Novel Machine Learning-Assisted Policy Recommendation Method on COVID-19 Vaccination Campaign

Conference Proceedings of the 2021 IEEE ACM 25th International Symposium on Distributed Simulation and Real Time Applications Ds RT 2021 · September 27, 2021 As the most serious global infectious disease in the past 100 years, it has caused severe loss of life and property to countries and their people worldwide in the past year. As the most powerful tool in the fight against the epidemic, how to quickly promot ... Full text Cite

Security enhancing method in vehicular networks by exploiting the accurate traffic flow prediction

Conference IEEE Wireless Communications and Networking Conference Wcnc · January 1, 2021 In recent years, to improve the transportation system’s efficiency, relying on the development of vehicular wireless communication technology and corresponding in-vehicle sensor technology, intelligent transportation systems have become the focus of attent ... Full text Cite

Toward the Design of An Efficient Transparent Traffic Environment Based on Vehicular Edge Computing

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2021 In recent years, with the continuously increasing number of vehicles, how to solve the frequent traffic accidents, the increasing traffic congestion, and the corresponding exhaust pollution in the transportation system is the problem that must be solved to ... Full text Cite

10th ACM DIVANet Chairs' Welcome

Conference Divanet 2020 Proceedings of the 10th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications · November 16, 2020 Cite

Challenges and Potential Solutions for Designing A Practical Pedestrian Detection Framework for Supporting Autonomous Driving

Conference Mobiwac 2020 Proceedings of the 18th ACM Symposium on Mobility Management and Wireless Access · November 16, 2020 In recent years, in the face of the increasingly complicated traffic environment caused by the significant increase in the number of motor vehicles, in order to improve road traffic safety, autonomous driving technology has become the focus of research, an ... Full text Cite

Empirical Study and Analysis of the Impact of Traffic Flow Control at Road Intersections on Vehicle Energy Consumption

Conference Mobiwac 2020 Proceedings of the 18th ACM Symposium on Mobility Management and Wireless Access · November 16, 2020 In modern society, vehicles have become an indispensable means of transportation to ensure people's travel and the circulation of social production materials and living materials. However, while bringing us convenience in life, with the increasing number o ... Full text Cite

A Delay-Based Deep Learning Approach for Urban Traffic Volume Prediction

Conference IEEE International Conference on Communications · June 1, 2020 Reliable traffic flow prediction can greatly support the Intelligent Transportation System (ITS) to generate more effective traffic management decisions. Previous volume predictions mainly focused on the single road with simple flow patterns, such as subur ... Full text Cite

A Novel Joint Data Gathering and Wireless Charging Scheme for Sustainable Wireless Sensor Networks

Conference IEEE International Conference on Communications · June 1, 2020 Energy efficiency is a crucial issue for a practical wireless sensor network (WSN) due to the battery-powered sensors. For improving energy efficiency, many methods have been designed in WSNs thanks to the emerging techniques, i.e., data gathering and wire ... Full text Cite

A Novel Internet-of-Vehicles Assisted Collaborative Low-visible Pedestrian Detection Approach

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2020 For releasing the public concern on road safety, as an essential driving assistant technique for supporting autonomous deriving, considerable research efforts have been paid on developing practical traffic-related target/object detection methods. In recent ... Full text Cite

Challenges of designing computer vision-based pedestrian detector for supporting autonomous driving

Conference Proceedings 2019 IEEE 16th International Conference on Mobile Ad Hoc and Smart Systems Mass 2019 · November 1, 2019 In recent years, aiming to improve deriving safety and supporting autonomous driving, pedestrian detection has attracted considerable attention from both industry and academic. Moreover, by taking advantage of the powerful computational capacity of GPU and ... Full text Cite

A Queueing Model-Assisted Traffic Conditions Estimation Scheme for Supporting Vehicular Edge Computing

Conference IEEE International Symposium on Personal Indoor and Mobile Radio Communications PIMRC · September 1, 2019 In recent years, with the development of the Internet of Things (IoT) and the Vehicular Networks (VNets), a large number of computers and sensors equipped on different vehicles (e.g., onboard CPU, camera, GPS, etc.) can not only help the vehicle to collect ... Full text Cite

A Hybrid Stacked Traffic Volume Prediction Approach for a Sparse Road Network

Conference Proceedings IEEE Symposium on Computers and Communications · June 1, 2019 How to provide accurate and timely traffic flow information has become a hot topic in recent years since they can help schedule trips better and reduce traffic congestion. In previous studies, some machine learning (ML)-based models were proposed to predic ... Full text Cite

A Novel Travel-Delay Aware Short-Term Vehicular Traffic Flow Prediction Scheme for VANET

Conference IEEE Wireless Communications and Networking Conference Wcnc · April 1, 2019 How to achieve a fast and safe data dissemination in the Vehicular ad-hoc network (VANET) is a hot research topic these days. However, the high mobility of the vehicles makes the topology of VANET unstable, and real-time road information is generally limit ... Full text Cite

TVDR: A Novel Traffic Volume Aware Data Routing Protocol for Vehicular Networks

Conference IEEE Wireless Communications and Networking Conference Wcnc · April 1, 2019 Recently, the evolution of both wireless communication technologies and vehicular technology have greatly promoted the development of Vehicular Networks (VNs). The VN allows for vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communications us ... Full text Cite

A novel data collector path optimization method for lifetime prolonging in wireless sensor networks

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2019 Due to the limited battery capacity, the lifetime and performance of the battery-powered WSNs are constrained. In order to prolong the lifetime, applying mobile data collectors to gather data in WSNs is a promising approach. In this paper, we design a two- ... Full text Cite

A novel cloudlet-dwell-time estimation method for assisting vehicular edge computing applications

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2019 Recently, to improve the efficiency and safety of the transportation system that is severely affected by the increasing traffic demand, the Internet-of-Vehicles (IoVs)/Vehicular Networks (VNets) have received more and more attention because it can effectiv ... Full text Cite

A Service Slicing Strategy with QoS for LTE-based Cellular Networks

Conference Q2swinet 2018 Proceedings of the 14th ACM International Symposium on Qos and Security for Wireless and Mobile Networks · October 25, 2018 This paper introduces a service slicing strategy for managing Quality of Service in LTE-based cellular networks by managing resource blocks in the uplink direction based on resource pooling. An algorithm is devised to optimize and allocate resource blocks ... Full text Cite

An Energy-Efficient Node Deployment Strategy for Energy Harvesting-aided Wireless Sensor Networks

Conference Q2swinet 2018 Proceedings of the 14th ACM International Symposium on Qos and Security for Wireless and Mobile Networks · October 25, 2018 Due to the limited battery capacity, energy is the most crucial constraint for improving the performance of widely adopted Wireless Sensor Networks (WSNs). Hence, conserving energy and improving the energy efficiency are important in designing a sustainabl ... Full text Cite

An energy-efficient UAV-based data aggregation protocol in wireless sensor networks

Conference Divanet 2018 Proceedings of the 8th ACM Symposium on Design and Analysis of Intelligent Vehicular Networks and Applications · October 25, 2018 Energy efficiency is an important issue in Wireless Sensor Networks (WSNs). The energy is mainly consumed by data sensing, data transmission and movement of sensors. The energy consumed by data transmission is much larger than data sensing. A potential sol ... Full text Cite

A novel proactive handover scheme for achieving energy-efficient vehicular networks

Conference Q2swinet 2018 Proceedings of the 14th ACM International Symposium on Qos and Security for Wireless and Mobile Networks · October 25, 2018 Recently, the Vehicular Network (VN) has gained a lot of attention from researchers around the world. By allowing wireless communication, VNs enable information exchanging among vehicles, which in turn let drivers become more aware of their surrounding roa ... Full text Cite

A Fast Vehicular Traffic Flow Prediction Scheme Based on Fourier and Wavelet Analysis

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2018 Currently, traffic congestion has become a part of daily life of people in the cities around the world, and impacts people's lives adversely, e.g., the extra time spent on commuting, the extra exhaust emissions, etc. In order to reduce the effects of conge ... Full text Cite

Analysis of underwater target detection probability by using autonomous underwater vehicles

Conference Q2swinet 2017 Proceedings of the 13th ACM Symposium on Qos and Security for Wireless and Mobile Networks Co Located with Mswim 2017 · November 21, 2017 Due to the trend of under-ocean exploration, realtime monitoring or long-term surveillance of the under-ocean environment, e.g., real-time monitoring for under-ocean oil drilling, is imperative. Underwater wireless sensor networks could provide an optimal ... Full text Cite

Theoretical analysis of the target detection rules for the UAV-based wireless sensor networks

Conference IEEE International Conference on Communications · July 28, 2017 A wireless sensor network (WSN) is usually deployed in a field of interesting (FoI) for detecting or monitoring some special events. Traditionally, the WSN requires intensive deployment in which the extra sensor nodes are deployed to achieve the required c ... Full text Cite

Theoretical analysis of the area coverage in a UAV-based wireless sensor network

Conference Proceedings 2017 13th International Conference on Distributed Computing in Sensor Systems Dcoss 2017 · July 2, 2017 A wireless sensor network (WSN) is usually deployed in a field of interest (FoI) for detecting or monitoring some special events and then forwarding the aggregated data to the designated data center through sink nodes or gateways. Traditionally, the WSN re ... Full text Cite

A Novel Passive Road Side Unit Detection Scheme in Vehicular Networks

Conference Proceedings IEEE Global Communications Conference Globecom · January 1, 2017 The data dissemination and content delivery is a challenging research subject in the Internet of Things (IoT). Especially, in the Vehicular Networks environment, the network topology has the transient nature, due to the fast-moving velocity of the vehicles ... Full text Cite

Integrated connectivity and coverage techniques for wireless sensor networks

Conference Mobiwac 2016 Proceedings of the 14th ACM International Symposium on Mobility Management and Wireless Access Co Located with Mswim 2016 · November 13, 2016 A wireless sensor network (WSN) consists of a group of energy-constrained sensor nodes with the ability of both sensing and communication, which can be deployed in a field of interesting (FoI) for detecting or monitoring some special events and then forwar ... Full text Cite

Random node failures and wireless networks connectivity: A novel recovery scheme

Conference Canadian Conference on Electrical and Computer Engineering · October 31, 2016 Multi-radio Multi-channel Wireless Networks (M2WNs) have been studied intensively over the past decade with focus on traffic management functionalities such as channel-to-interface assignment, traffic routing and scheduling. These developed solu ... Full text Cite