Peng Sun

Journal article IEEE Internet of Things Journal · June 1, 2026 As a prevalent field of study in machine learning, intelligent agents can perceive their surroundings and make informed decisions. In many research areas, such as autopilot systems, undersea explorations, and distributed robotics, researchers have traditio ... Full text Cite

Channel-Independence for Traffic Forecasting: A Cascaded Spatio-Temporal MLP Framework

Journal article IEEE Transactions on Intelligent Transportation Systems · June 1, 2026 The criticality of efficient traffic forecasting in Intelligent Transportation System (ITS) has garnered significant academic attention. This study addresses the prevalent issue of distribution shift in real-world datasets, which often degrades performance ... Full text Cite

Large Language Models for Mobility Analysis in Transportation Systems: A Survey on Forecasting Tasks

Journal article Transportation Research Record · February 1, 2026 Mobility analysis is a crucial element in the research area of transportation systems. Forecasting traffic information offers a viable solution to address the conflict between increasing transportation demands and the limitations of transportation infrastr ... Full text Cite

Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey

Journal article IEEE Communications Surveys and Tutorials · January 1, 2026 Edge-cloud collaborative computing (ECCC) has emerged as a pivotal paradigm for addressing the computational demands of modern intelligent applications, integrating cloud resources with edge devices to enable efficient, low-latency processing across distri ... Full text Cite

A Dynamic Application Configuration and Capacity Aware Offloading System for MEC Optimization

Journal article IEEE Internet of Things Journal · January 1, 2026 Mobile Edge Computing (MEC) is a key technology for enabling energy-efficient and low-latency processing of computation-intensive applications through task offloading. However, current frameworks typically model dependent tasks using static Directed Acycli ... Full text Cite

Efficient and Robust Collaborative Perception via Cross-Vehicle Spatio-Temporal Feature Selecting

Journal article IEEE Transactions on Intelligent Transportation Systems · November 1, 2025 Collaborative perception systems enhance the perception capabilities of individual vehicles by facilitating information exchange between neighbouring vehicles. This approach effectively addresses challenges like occlusions and long-range perceptions that s ... Full text Cite

CNN-DAG-Editor: A Convolutional Neural Network offloading analyzer with Multi-Objective Dynamic Adaptive Resource Competitive Swarm Optimization

Journal article Computer Networks · August 1, 2025 With the rapid development of artificial intelligence applications on mobile devices, there are increasing demands for optimizing the runtime, energy consumption, and cost-effectiveness of Convolutional Neural Networks (CNNs). These objectives often cannot ... Full text Cite

Networking Systems for Video Anomaly Detection: A Tutorial and Survey

Journal article ACM Computing Surveys · May 7, 2025 The increasing utilization of surveillance cameras in smart cities, coupled with the surge of online video applications, has heightened concerns regarding public security and privacy protection, which propelled automated Video Anomaly Detection (VAD) into ... Full text Cite

Energy Consumption Minimization for NOMA-Assisted Mobile Edge Computing in IoT Network

Journal article IEEE Internet of Things Journal · January 1, 2025 Enabling Mobile edge computing (MEC) services with massive connectivity and low energy consumption is crucial for future Internet of Things (IoT) infrastructures. In this article, we investigate an IoT network, where MEC is adopted as the computing framewo ... Full text Cite

CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos.

Journal article IEEE transactions on image processing : a publication of the IEEE Signal Processing Society · January 2025 Video Anomaly Detection (VAD) remains a fundamental yet formidable task in the video understanding community, with promising applications in areas such as information forensics and public safety protection. Due to the rarity and diversity of anomalies, exi ... Full text Cite

Federated deep reinforcement learning based trajectory design for UAV-assisted networks with mobile ground devices.

Journal article Scientific reports · October 2024 Exploiting highly maneuverable unmanned aerial vehicles (UAVs) has been considered as an efficient way to assist wireless systems, e.g., for applications of data collection. However, several challenges remain to be addressed in the design of such UAV-assis ... Full text Cite

Memory-enhanced spatial-temporal encoding framework for industrial anomaly detection system

Journal article Expert Systems with Applications · September 15, 2024 The development of modern manufacturing has raised greater demands on the accuracy, response speed, and operating cost of industrial accident warnings. Compared to conventional contact sensors, surveillance cameras can contactlessly capture spatial–tempora ... Full text Cite

The evolution of detection systems and their application for intelligent transportation systems: From solo to symphony

Journal article Computer Communications · September 1, 2024 The emergence of autonomous driving technologies has been significantly influenced by advancements in perception systems. Traditional single-agent detection models, while effective in certain scenarios, exhibit limitations in complex environments, necessit ... Full text Cite

Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models

Journal article ACM Computing Surveys · July 31, 2024 Video Anomaly Detection (VAD) serves as a pivotal technology in the intelligent surveillance systems, enabling the temporal or spatial identification of anomalous events within videos. While existing reviews predominantly concentrate on conventional unsupe ... Full text Cite

Joint Multi-UAV Trajectory Design for Power Line Inspection

Journal article Dianzi Yu Xinxi Xuebao Journal of Electronics and Information Technology · May 1, 2024 Unmanned Aerial Vehicles (UAV) technology holds significant importance and offers extensive potential for application in the field of inspection. Taking into account the limited endurance of the UAV, it needs to fly from the nest to the designated inspecti ... Full text Cite

LEHA: A novel lightweight efficient and highly accurate lane departure warning system

Journal article Multimedia Tools and Applications · March 1, 2024 As one of the most indispensable means of transportation in modern society, vehicles guarantee our daily commuting and logistics transportation. However, with the increasing number of vehicles, vehicles have also caused increasingly serious traffic safety ... Full text Cite

AMP-Net: Appearance-Motion Prototype Network Assisted Automatic Video Anomaly Detection System

Journal article IEEE Transactions on Industrial Informatics · February 1, 2024 As essential tools for industry safety protection, automatic video anomaly detection systems (AVADS) are designed to detect anomalous events of concern in surveillance videos. Existing VAD methods lack effective exploration of the prototypical appearance a ... Full text Cite

A novel hierarchical distributed vehicular edge computing framework for supporting intelligent driving

Journal article Ad Hoc Networks · February 1, 2024 Recently, various infrastructure-assisted or onboard driving assistant applications have been proposed as a component of intelligent transportation systems (ITS) to improve the transportation system's efficiency and release public concern about road safety ... Full text Cite

Efficient Vehicular Collaborative Perception Based on Saptial-Temporal Feature Compression

Journal article IEEE Transactions on Vehicular Technology · January 1, 2024 In collaborative perception, autonomous vehicles with limited perception capabilities can communicate with each other to achieve a more holographic and effective perception result. Real-world communication systems, however, are usually constrained by wirel ... Full text Cite

Robust COVID-19 vaccination control in a multi-city dynamic transmission network: A novel reinforcement learning-based approach

Journal article Journal of Network and Computer Applications · October 1, 2023 Vaccines are a highly effective intervention in mitigating the COVID-19 pandemic, but with limited resources, an optimal vaccine allocation plan is essential for reducing the number of infections. However, most previous studies on vaccine allocation strate ... Full text Cite

A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks

Journal article Computer Communications · September 1, 2023 The efficient and smooth operation of the transportation system is crucial for ensuring the normal functioning of modern society and people's daily lives. However, the increase in vehicles has led to more frequent and severe traffic congestion due to the l ... Full text Cite

Average age upon decisions with truncated HARQ and optimization in the finite blocklength regime

Journal article Computer Communications · September 1, 2023 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

A novel cloud-based traffic aware data routing protocol for smart connected vehicles

Journal article Computing · July 1, 2022 In recent years, increasing concern about safe driving has stimulated the development of intelligent transportation systems (ITS). One of the critical technologies for realizing ITS is sharing traffic information between vehicles in real-time. Due to the i ... Full text Cite

A Novel Reinforcement Learning-Based Cooperative Traffic Signal System Through Max-Pressure Control

Journal article IEEE Transactions on Vehicular Technology · February 1, 2022 Improving the efficiency of traffic signal control is an effective way to alleviate traffic congestion at signalized intersections. To achieve effective management of the system-wide traffic flows, current research tends to focus on applying reinforcement ... Full text Cite

FECO: An Efficient Deep Reinforcement Learning-Based Fuel-Economic Traffic Signal Control Scheme

Journal article IEEE Transactions on Sustainable Computing · January 1, 2022 Vehicle fuel efficiency (VFE) has a pivotal role in solving energy shortage issue due to the increasing global demand for energy. The high frequency of go-stop movements and long waiting times at intersections significantly reduce the VFE. Such negative im ... Full text Cite

A Novel Two-Mode QoS-Aware Mobile Charger Scheduling Method for Achieving Sustainable Wireless Sensor Networks

Journal article IEEE Transactions on Sustainable Computing · January 1, 2022 For developing a sustainable wireless sensor network (WSN), wireless energy charging and mobile data collection are two promising techniques for enhancing energy efficiency and achieving semi-permanent operation time of WSNs. Currently, many energy-aware m ... Full text Cite

Reliability-Oriented Design Framework in NOMA-Assisted Mobile Edge Computing

Journal article IEEE Access · January 1, 2022 In this paper, we consider mission-critical task offloading in the non-orthogonal multiple access (NOMA)-assisted mobile edge computing (MEC) networks, where local information collected from multiple local devices are processed at the MEC node. The process ... Full text Cite

Design of Algorithms and Protocols for Underwater Acoustic Wireless Sensor Networks

Journal article ACM Computing Surveys · November 30, 2021 Nowadays, with the recent advances of wireless underwater communication and acoustic sensor devices technology, we are witnessing a surge in the exploration and exploitation of the ocean's abundant natural resources. Accordingly, to fulfill the requirement ... Full text Cite

A Novel VANET-Assisted Traffic Control for Supporting Vehicular Cloud Computing

Journal article IEEE Transactions on Intelligent Transportation Systems · November 1, 2021 Vehicular Ad hoc Networks (VANETs) allow for vehicle-To-vehicle and vehicle-To-infrastructure communications using wireless local area network technologies. The distinctive features of their candidate applications (e.g., collision warning and local traffic ... Full text Cite

A novel joint optimization method based on mobile data collection for wireless rechargeable sensor networks

Journal article IEEE Transactions on Green Communications and Networking · September 1, 2021 In wireless sensor networks, energy efficiency is a very critical issue as it impacts the network's lifetime and performance. Mobile data collection and wireless charging are two promising emerging techniques for enhancing energy efficiency. To achieve hig ... Full text Cite

AI-assisted data dissemination methods for supporting intelligent transportation systems†

Journal article Internet Technology Letters · January 1, 2021 As an essential component of Smart Cities, the intelligent transportation system (ITS) utilizes a large number of deployed traffic monitoring equipment and Internet-of-Vehicles technologies to timely transfer traffic management measures formulated based on ... Full text Cite

Artificial intelligence-based vehicular traffic flow prediction methods for supporting intelligent transportation systems

Journal article Computer Networks · December 9, 2020 In recent years, the Intelligent transportations system (ITS) has received considerable attention, due to higher demands for road safety and efficiency in highly interconnected road networks. As an essential part of ITS, traffic prediction can provide supp ... Full text Cite

DACON: A Novel Traffic Prediction and Data-Highway-Assisted Content Delivery Protocol for Intelligent Vehicular Networks

Journal article IEEE Transactions on Sustainable Computing · October 1, 2020 Nowadays, to deal with driving safety-related issues and improve travel comfort, the VehiculAr NETwork (VANET) has gained tremendous attention from researchers in both academia and industry around the world. By taking advantage of vehicle-to-vehicle (V2V) ... Full text Cite

SSGRU: A novel hybrid stacked GRU-based traffic volume prediction approach in a road network

Journal article Computer Communications · July 1, 2020 As a potential solution to relieve traffic congestions and help build a more safe traffic system, traffic flow prediction methods are given much attention in recent years. In previous studies, it can be found the machine learning (ML)-based methods are wid ... Full text Cite

Machine Learning-Based Models for Real-time Traffic Flow Prediction in Vehicular Networks

Journal article IEEE Network · May 1, 2020 In recent years, ML-based models are gaining enormous attention from both the automotive industry and academia to support IoVs. Through the accurate prediction of traffic/road conditions, various safety and infotainment applications can efficiently utilize ... Full text Cite

Efficient Green Protocols for Sustainable Wireless Sensor Networks

Journal article IEEE Transactions on Sustainable Computing · January 1, 2020 Nowadays, wireless sensor networks (WSNs) are widely adopted by many civil/military applications. However, due to the limited capacity of the built-in battery, the lifetime of the sensor is limited, which in turn affects the working time of the whole syste ... Full text Cite

An Energy-Efficient Proactive Handover Scheme for Vehicular Networks Based on Passive RSU Detection

Journal article IEEE Transactions on Sustainable Computing · January 1, 2020 Recently, the Vehicular Network (VN) has received a lot of attention from researchers around the world. By allowing wireless communication, VNs enable information exchange among vehicles, which in turn has allowed drivers to become more aware of their surr ... Full text Cite

Unmanned aerial vehicle-assisted energy-efficient data collection scheme for sustainable wireless sensor networks

Journal article Computer Networks · December 24, 2019 Recently, wireless sensor networks (WSNs), consisted of battery-powered sensor nodes, are widely adopted by various civilian/military applications for implementing real-time monitoring or long-term surveillance tasks. However, due to limited battery capaci ... Full text Cite

Performance modeling and analysis of a UAV path planning and target detection in a UAV-based wireless sensor network

Journal article Computer Networks · December 9, 2018 A wireless sensor network (WSN) is usually deployed in a field-of-interest (FoI) for detecting or monitoring special events. Traditionally, the WSN requires intensive deployment in which extra sensor nodes are deployed to achieve the required coverage leve ... Full text Cite

Connectivity and coverage based protocols for wireless sensor networks

Journal article Ad Hoc Networks · November 1, 2018 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 interest (FoI) for detecting or monitoring some special events, and then forwardi ... Full text Cite

A Novel Hierarchical Two-Tier Node Deployment Strategy for Sustainable Wireless Sensor Networks

Journal article IEEE Transactions on Sustainable Computing · October 1, 2018 Wireless sensor networks (WSNs) have been widely adopted to fulfil the imperative requirement of real-time monitoring and/or long-term surveillance of the field-of-interest. However, due to the limited battery capacity, energy is the most critical constrai ... Full text Cite

Modeling and analysis of coverage degree and target detection for autonomous underwater vehicle-based system

Journal article IEEE Transactions on Vehicular Technology · October 1, 2018 In this article, we theoretically investigate the dynamic aspects of the coverage degree and target detection in the underwater environment resulting from the given moving scenarios of the autonomous underwater vehicles (AUVs). With the help of the continu ... Full text Cite

Random Node Failures and Wireless Networks Connectivity: Theoretical Analysis

Journal article IEEE Wireless Communications Letters · October 1, 2015 Multi-radio multi-channel wireless networks (M2WNs) have been studied intensively over the past decade with focusing on traffic management functionalities such as channel-to-interface assignment, traffic routing and scheduling. These developed s ... Full text Cite

A QoS aware joint design for wireless mesh networks

Journal article Wireless Networks · January 1, 2014 Wireless mesh networks (WMNs) provide Internet access to remote areas and wireless connections on a metropolitan scale. In this paper, we focus on the problem of improving the gateway throughput in WMNs while achieving fairness and supporting quality-of-se ... Full text Cite