Peng Sun

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 · April 9, 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

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

What2comm: Towards Communication-efficient Collaborative Perception via Feature Decoupling

Conference MM 2023 - Proceedings of the 31st ACM International Conference on Multimedia · October 26, 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

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 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

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

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

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

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

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

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

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

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

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

Efficient Vehicular Collaborative Perception Based on Saptial-Temporal Feature Compression

What2comm: Towards Communication-efficient Collaborative Perception via Feature Decoupling

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

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

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

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

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

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

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

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

Towards A Practical Pedestrian Detection Method for Supporting Autonomous Driving

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

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

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

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 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 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

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

Design of Algorithms and Protocols for Underwater Acoustic Wireless Sensor Networks

Journal Article ACM Computing Surveys · February 1, 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

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

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

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

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

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

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

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

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

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

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

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 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 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

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 solutions alway ... 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 solutions al ... 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