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General Information
    • ISSN: 1793-8198 (Print)
    • Abbreviated Title: Int. J. Mater. Mech. Manuf.
    • Frequency: Bimonthly
    • DOI: 10.18178/IJMMM
    • Editor-in-Chief: Prof. Ian McAndrew
    • Co-editor-in-Chief: Prof. K. M. Gupta
    • Executive Editor: Cherry L. Chen
    • Abstracting/Indexing: Inspec (IET), Chemical Abstracts Services (CAS),  ProQuest, Crossref, Ulrich's Periodicals Directory,  EBSCO.
    • E-mail ijmmm@ejournal.net

Prof. Ian McAndrew
Capitol Technology University, USA
It is my honor to be the editor-in-chief of IJMMM. I will do my best to work with the editorial team and help make this journal better.

IJMMM 2020 Vol.8(3): 155-161 ISSN: 1793-8198
DOI: 10.18178/ijmmm.2020.8.3.499

Wireless Sensor Network Charging Strategy Based on Modified Ant Colony Algorithm

Chao Ma, Siguang An, Wei Wang, Dehui Lin, Mei Li, and Lihong Sun
Abstract—Using mobile charging devices to provide controllable and sustainable energy to Wireless Sensor Networks (WSN), has become an important topic of current research. A novel charging strategy based on the mobile device is proposed to add the net increase in network power. To improve the charging efficiency and avoid unnecessary charging, a charging threshold is evaluated and determined. A Modified Ant Colony Optimization (MACO) is introduced to minimize the travelling distance of the mobile charging device. A dynamic state transition rule, which considers the real-time power of the nodes is developed in MACO to guide the charging path of the mobile charging device. The sustainability of the WSN using the proposed charging strategy is also studied. A WSN model with 50 nodes and one mobile charging device is used to testify the effectiveness and the efficiency of the proposed method. The results demonstrate that the proposed charging strategy can maximize the net increase of the average power of the WSN with a shorter route in one or multiple charging tour and ensure the power supply of the WSN maintaining in a healthy state.

Index Terms—Wireless sensor network, mobile charging, MACO, sustainability.

The authors are with the School of Mechanical and Electrical Engineering, China Jiliang University, Hangzhou 310018, China (Corresponding author: Siguang An; e-mail: mc_y2019@163.com, annsg@126.com, wangwei@cjlu.edu.cn, lindehui@cjlu.edu.cn, lmzcjn@cjlu.edu.cn, slh@cjlu.edu.cn).


Cite: Chao Ma, Siguang An, Wei Wang, Dehui Lin, Mei Li, and Lihong Sun, "Wireless Sensor Network Charging Strategy Based on Modified Ant Colony Algorithm," International Journal of Materials, Mechanics and Manufacturing vol. 8, no. 3, pp. 155-161, 2020.

Copyright © 2020 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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