RECO: On-Demand Recharging and Data Collection for Wireless Rechargeable Sensor Networks

被引:4
|
作者
Wedaj, Fisseha Teju [1 ]
Hawbani, Ammar [2 ,3 ]
Wang, Xingfu [1 ]
Qaisar, Muhammad Umar Farooq [4 ]
Othman, Wajdy [5 ]
Alsamhi, Saeed Hamood [6 ,7 ]
Zhao, Liang [3 ]
机构
[1] Univ Sci & Technol China, Sch Comp Sci & Technol, Hefei 230026, Anhui, Peoples R China
[2] Univ Sci & Technol China USTC, Sch Comp Sci & Technol SCST, Hefei 230026, Anhui, Peoples R China
[3] Shenyang Aerosp Univ, Sch Comp Sci, Shenyang 110136, Peoples R China
[4] Southern Univ Sci & Technol, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China
[5] Anhui Univ, Sch Comp Sci & Technol, Hefei 230093, Anhui, Peoples R China
[6] Univ Galway, Insight Ctr Data Analyt, Galway H91 TK33, Ireland
[7] IBB Univ, Fac Engn, Ibb, Yemen
关键词
Wireless sensor network; wireless power transfer; wireless energy transfer; wireless rechargeable sensor network; recharging scheme; scheduling algorithm; ENERGY;
D O I
10.1109/TGCN.2023.3305026
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The emerging Wireless Energy Transfer (WET) is a promising technology that has the potential to thwart the energy limitation challenge in the field of the Internet of Things (IoT) and Wireless Sensor Networks (WSNs). WET-enabled WSNs are known as Wireless Rechargeable Sensor Networks (WRSNs). Over the last decade, various solutions have been suggested to minimize energy consumption and data delivery latency in WSNs. Among them, employing a mobile data collector has proven to be the most efficient solution. Motivated by this fact, we propose an on-demand recharging and data collection scheme called RECO, which employs dual-functioning mobile chargers (MCs) for both operations. RECO includes three essential procedures. 1) It clusters the network into multiple regions and defines two nonoverlapping itineraries on each partition; 2) It designs an efficient scheduling algorithm based on an Adapted Graham-Scan Algorithm (A-GSA); and 3) It defines anchor points to integrate the recharging and data dissemination processes. RECO is ideal for data delivery delay non-tolerant applications that were ignored by prior periodic recharging and data collection schemes. The experimental results demonstrate that RECO outperforms benchmarks regarding recharging and data collection efficiency.
引用
收藏
页码:1863 / 1876
页数:14
相关论文
共 50 条
  • [31] A Vehicle-Aided Data Collection Scheme for Wireless Rechargeable Sensor Networks
    Kumar, Rohit
    Mukherjee, Joy Chandra
    2021 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS), 2021, : 216 - 219
  • [32] A Joint Energy Replenishment and Data Collection Algorithm in Wireless Rechargeable Sensor Networks
    Han, Guangjie
    Yang, Xuan
    Liu, Li
    Zhang, Wenbo
    IEEE INTERNET OF THINGS JOURNAL, 2018, 5 (04): : 2596 - 2604
  • [33] Maximum Data Collection Rate in Rechargeable Wireless Sensor Networks with Multiple Sinks
    GAO Demin
    LIN Haifeng
    LIU Yunfei
    WU Guoxin
    中国通信, 2016, 13 (02) : 95 - 108
  • [34] Flying Path Optimization of Rechargeable UAV for Data Collection in Wireless Sensor Networks
    Zhu, Yuchao
    Wang, Shaowei
    IEEE SENSORS LETTERS, 2023, 7 (02)
  • [35] Maximum Data Collection Rate in Rechargeable Wireless Sensor Networks with Multiple Sinks
    Gao Demin
    Lin Haifeng
    Liu Yunfei
    Wu Guoxin
    CHINA COMMUNICATIONS, 2016, 13 (02) : 95 - 108
  • [36] A Novel Data Collection Method with Recharge Plan for Rechargeable Wireless Sensor Networks
    Chen, Chi-Chang
    WIRELESS COMMUNICATIONS & MOBILE COMPUTING, 2018,
  • [37] Maximum Data Collection Rate in Rechargeable Wireless Sensor Networks with Multiple Sinks
    GAO Demin
    LIN Haifeng
    LIU Yunfei
    WU Guoxin
    China Communications, 2016, (02) : 95 - 108
  • [38] Novel methods for energy charging and data collection in wireless rechargeable sensor networks
    Liu, Bing-Hong
    Ngoc-Tu Nguyen
    Van-Trung Pham
    Lin, Yue-Xian
    INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS, 2017, 30 (05)
  • [39] Low-latency Mobile Data Collection for Wireless Rechargeable Sensor Networks
    Wang, Cong
    Li, Ji
    Yang, Yuanyuan
    2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), 2015, : 6524 - 6529
  • [40] An efficient on-demand charging schedule method in rechargeable sensor networks
    Naween Kumar
    Dinesh Dash
    Mukesh Kumar
    Journal of Ambient Intelligence and Humanized Computing, 2021, 12 : 8041 - 8058