Article
Computer Science, Information Systems
Meiyi Yang, Nianbo Liu, Lin Zuo, Yong Feng, Minghui Liu, Haigang Gong, Ming Liu
Summary: In this article, a novel dynamic charging scheme based on actor-critic reinforcement learning algorithm in WRSN is proposed. The use of GRUs to capture the relationships of charging actions in time sequence is introduced. Extensive simulations show that the proposed ACRL algorithm surpasses heuristic algorithms in average lifetime and tour length.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Wenzheng Xu, Weifa Liang, Xiaohua Jia, Haibin Kan, Yinlong Xu, Xinming Zhang
Summary: Wireless energy charging is crucial for prolonging sensor lifetime in wireless rechargeable sensor networks. While the multi-node charging scheme shows potential in improving charging efficiency, the challenge lies in efficiently scheduling multiple mobile chargers to minimize charging delay among sensors.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Gerald K. Ijemaru, Kenneth Li-Minn Ang, Jasmine Kah Phooi Seng
Summary: This paper proposes energy-efficient swarm intelligence-based approaches for efficient mobile wireless charging in a distributed large-scale wireless sensor network. It investigates critical issues affecting efficient mobile wireless charging and proposes a node-partition algorithm based on cluster centroids to schedule multiple mobile chargers. Simulation experiments using SI-based routing protocols show the performance of the proposed scheme in terms of different evaluation metrics. The results demonstrate that SI-based techniques are a state-of-the-art approach for improved energy-efficient mobile wireless charging.
Article
Computer Science, Information Systems
Abhinav Tomar, Lalatendu Muduli, Prasanta K. Jana
Summary: This study proposes a novel on-demand charging scheduling scheme for WRSNs, which improves charging performance by efficiently distributing multiple mobile chargers with network attributes blended using fuzzy logic, and determining charging thresholds based on energy consumption rates.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Yu Liang, Yang Lu, Mingjun Shi
Summary: Wireless power transfer provides a promising alternative for battery-powered wireless sensor networks. This paper proposes a novel charging paradigm called Overlapped Mobile Charging (OMC), which clusters sensor nodes into non-overlapped sets and further divides them into overlapped groups to maximize energy usage effectiveness (EUE). Simulations confirm the advantages of OMC in terms of EUE.
COMPUTER COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Riheng Jia, Jianfeng Lu, Jinhao Wu, Xiong Wang, Zhonglong Zheng, Minglu Li
Summary: This article focuses on minimizing charging expenditure in wireless rechargable sensor networks using directional wireless power transfer. By developing uniform and layered charging strategies, the energy expenditure of the charger can be reduced. Simulation results confirm the performance improvement compared with baseline algorithms.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Cheol Lee, Woongsoo Na, Gunhee Jang, Chunghyun Lee, Sungrae Cho
Summary: To improve the energy efficiency and reduce charging delay of IoT devices, a multiple-directional MC (MDMC) scheme is proposed, utilizing multiple-directional beams while maintaining the advantages of directional antennas. The MDMC determines charging points based on device distribution and remaining energy, with an efficient two-stage multiple-directional beam selection (MDBS) algorithm to simplify the problem complexity, outperforming existing single-directional antenna-based charging schemes by approximately 15% and 25% in energy efficiency and charging delay, respectively.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Jingxiang Liu, Jian Peng, Wenzheng Xu, Weifa Liang, Tang Liu, Xi Peng, Zichuan Xu, Zheng Li, Xiaohua Jia
Summary: This paper studies the employment of a mobile charger to charge lifetime-critical sensors under the multi-node partial-charging model. The goal is to not only minimize the number of dead sensors but also reduce the dead durations of sensors. A novel approximation algorithm is proposed and experimental results show its effectiveness in reducing both the average and maximum sensor dead durations.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Jingjing Chen, Chang Wu Yu, Rei-Heng Cheng
Summary: Wireless rechargeable sensor networks (WRSNs) use wireless charging transfer technology to provide dynamic energy replenishment for sensors. This study proposes a novel WRSN model that integrates wireless charging vehicles (WCVs), WCV-carried drones, and independent drones to construct an efficient charging system. The proposed system aims to extend network lifetime and minimize charging scheduling time with the cooperation of WCVs and drones.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
P. Suman Prakash, M. Janardhan, K. Sreenivasulu, Shaik Imam Saheb, Shaik Neeha, M. Bhavsingh
Summary: This paper proposes a solution for charging sensor nodes in wireless sensor networks using charging vehicle scheduling. By determining a heuristic value for each node and selecting the best charging vehicle, the lifetimes of both the nodes and the network as a whole can be prolonged. Through simulations and comparisons, the proposed approach demonstrates superior performance in various performance metrics.
JOURNAL OF SENSORS
(2022)
Article
Energy & Fuels
Prithvi Krishna Chittoor, C. Bharatiraja
Summary: The future of urban drone-based transportation and delivery relies on efficient charging infrastructure. Battery swapping is the most popular method for drone charging currently. To address the limitations of wired charging, an innovative Building Integrated Photovoltaic (BIPV) structure with wireless charging capabilities has been designed.
Article
Engineering, Multidisciplinary
Yang Yu, Qin Cheng
Summary: This paper proposes a charging strategy and scheduling algorithm for directional wireless power transfer in wireless rechargeable sensor networks (WRSNs). By defining the charging demand degree, optimizing the charger's orientation and moving path, the energy charging efficiency can be improved to prolong the network lifetime.
ALEXANDRIA ENGINEERING JOURNAL
(2022)
Article
Computer Science, Hardware & Architecture
Chi Lin, Ziwei Yang, Haipeng Dai, Liangxian Cui, Lei Wang, Guowei Wu
Summary: This paper introduces the application of directional wireless power transfer technology in wireless rechargeable sensor networks, successfully minimizing charging delays through improved energy transfer models and optimized charging schemes. By discretizing charging power and angle, the performance gap of the solution is effectively controlled, achieving efficient charging.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2021)
Article
Computer Science, Information Systems
Ying Dong, Guangjiu Bao, Yuhong Liu, Ming Wei, Yuxin Huo, Zhiyuan Lou, Yong Wang, Chunyue Wang
Summary: This paper proposes an instant on-demand charging strategy (IOCS) for wireless rechargeable sensor networks (WRSNs). IOCS combines the spatial, temporal, and event features of nodes to optimize the charging throughput and success rate. Extensive simulations demonstrate the advantages of IOCS over two state-of-the-art strategies.
Article
Computer Science, Information Systems
Donghyun Lee, Cheol Lee, Gunhee Jang, Woongsoo Na, Sungrae Cho
Summary: This paper proposes an energy-efficient adaptive directional charging (EEADC) algorithm that can choose between single charging and multicharging based on the density of sensor nodes for improved energy efficiency. The algorithm utilizes directional antennas to concentrate energy, identifies the optimum charging points and beam directions, and minimizes energy consumption.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Hardware & Architecture
Xiaolin Gu, Wenjia Wu, Yusen Zhou, Aibo Song, Ming Yang, Zhen Ling, Junzhou Luo
Summary: This study proposes a radio frequency fingerprint identification solution based on crystal oscillator temperature adjustment, which enhances the differences between Wi-Fi device fingerprints and mitigates collision. Experimental results demonstrate the effectiveness of the system in identifying smartphones under different scenarios.
Article
Computer Science, Hardware & Architecture
Yutong Wu, Jianyue Zhu, Xiao Chen, Yu Zhang, Yao Shi, Yaqin Xie
Summary: This paper proposes a quality-of-service-based SIC order method and optimizes power allocation for maximizing the rate in the uplink NOMA system. The simulation results demonstrate the superiority of the proposed method compared to traditional orthogonal multiple access and exhaustive search.
Article
Computer Science, Hardware & Architecture
Songshi Dou, Li Qi, Zehua Guo
Summary: Emerging cloud services and applications have different QoS requirements for the network. SD-WANs play a crucial role in QoS provisioning by introducing network programmability, dynamic flow routing, and low data transmission latency. However, controller failures may degrade QoS. To address this, we propose PREDATOR, a QoS-aware network programmability recovery scheme that achieves fine-grained per-flow remapping without introducing extra delays, ensuring QoS robustness for high-priority flows.
Article
Computer Science, Hardware & Architecture
Ke Wang, Xiaojuan Ma, Heng Kang, Zheng Lyu, Baorui Feng, Wenliang Lin, Zhongliang Deng, Yun Zou
Summary: This paper proposes a method based on a parallel network simulation architecture to improve the simulation efficiency of satellite networks. By effectively partitioning the network topology and using algorithms such as resource assessment and load balancing, the simulation performance is enhanced. Experimental results demonstrate the effectiveness of this method.
Article
Computer Science, Hardware & Architecture
Sijin Yang, Lei Zhuang, Julong Lan, Jianhui Zhang, Bingkui Li
Summary: This paper proposes a reuse-based online scheduling mechanism that achieves deterministic transmission of dynamic flows through dynamic path planning and coordinated scheduling of time slots. Experimental results show that the proposed mechanism improves the scheduling success rate by 37.3% and reduces time costs by up to 66.6% compared to existing online scheduling algorithms.