A grid-based joint routing and charging algorithm for industrial wireless rechargeable sensor networks

被引:92
作者
Han, Guangjie [1 ,2 ]
Qian, Aihua [1 ]
Jiang, Jinfang [1 ]
Sun, Ning [1 ]
Liu, Li [1 ]
机构
[1] Hohai Univ, Dept Informat & Commun Engn, Changzhou 213022, Peoples R China
[2] Changzhou Key Lab Sensor Networks & Environm Sens, Changzhou 213022, Peoples R China
基金
中国国家自然科学基金;
关键词
IWRSNs; grid-based; joint routing and charging; proactively charging;
D O I
10.1016/j.comnet.2015.12.014
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Wireless charging techniques provide a more flexible and promising way to solve the energy constraint problem in industrial wireless rechargeable sensor networks (IWRSNs). Although considerable research has been done on wireless charging algorithms, most of it only focuses on passively replenishing nodes having insufficient energy. In this paper, we propose a grid-based joint routing and charging algorithm for IWRSNs to solve the charging problem in a proactive way. On the one hand, a new routing protocol is designed according to charging characteristics of the charger to achieve local energy balance. On the other hand, different charging times are allocated at different charging points on the basis of energy consumption caused by the routing process to achieve global energy balance. Simulation results verify superiority of our proposed algorithm in solving the balancing energy problem and improving survival rates of nodes. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:19 / 28
页数:10
相关论文
共 25 条
  • [1] Wireless energy transfer in sensor networks with adaptive, limited knowledge protocols
    Angelopoulos, Constantinos Marios
    Nikoletseas, Sotiris
    Raptis, Theofanis P.
    [J]. COMPUTER NETWORKS, 2014, 70 : 113 - 141
  • [2] Beigel R., 2014, P 1 INT WORKSH COMP, P1, DOI DOI 10.1145/2633675.2633676
  • [3] A Survey of Recent Developments in Home M2M Networks
    Chen, Min
    Wan, Jiafu
    Gonzalez, Sergio
    Liao, Xiaofei
    Leung, Victor C. M.
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (01): : 98 - 114
  • [4] Optimal Scheduling for Quality of Monitoring in Wireless Rechargeable Sensor Networks
    Cheng, Peng
    He, Shibo
    Jiang, Fachang
    Gu, Yu
    Chen, Jiming
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2013, 12 (06) : 3072 - 3084
  • [5] Fachang Jiang, 2011, 2011 IEEE 8th International Conference on Mobile Ad-Hoc and Sensor Systems, P69, DOI 10.1109/MASS.2011.19
  • [6] Fu LK, 2013, IEEE INFOCOM SER, P2922
  • [7] Industrial Wireless Sensor Networks: Challenges, Design Principles, and Technical Approaches
    Gungor, Vehbi C.
    Hancke, Gerhard P.
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2009, 56 (10) : 4258 - 4265
  • [8] Han G., 2014, SCI WORLD J, V2014
  • [9] Han G., 2014, SCI WORLD J, V2014
  • [10] Impacts of traveling paths on energy provisioning for industrial wireless rechargeable sensor networks
    Han, Guangjie
    Qian, Aihua
    Liu, Li
    Jiang, Jinfang
    Zhu, Chuan
    [J]. MICROPROCESSORS AND MICROSYSTEMS, 2015, 39 (08) : 1271 - 1278