Table of Content

Open Access iconOpen Access

ARTICLE

crossmark

Optimal Coverage Multi-Path Scheduling Scheme with Multiple Mobile Sinks for WSNs

Jin Wang1, 2, 3, Yu Gao2, Chang Zhou2, R. Simon Sherratt4, Lei Wang5, *

1 School of Computer & Communication Engineering, Changsha University of Science & Technology, Changsha, 410114, China.
2 School of Information Engineering, Yangzhou University, Yangzhou, 225009, China.
3 School of Information Science and Engineering, Fujian University of Technology, Fuzhou, 350000, China.
4 Department of Biomedical Engineering, University of Reading, Berkshire RG6 6AY, UK.
5 School of Civil Engineering, Changsha University of Science & Technology, Changsha, 410114, China.

* Corresponding Author: Lei Wang. Email: email.

Computers, Materials & Continua 2020, 62(2), 695-711. https://doi.org/10.32604/cmc.2020.08674

Abstract

Wireless Sensor Networks (WSNs) are usually formed with many tiny sensors which are randomly deployed within sensing field for target monitoring. These sensors can transmit their monitored data to the sink in a multi-hop communication manner. However, the ‘hot spots’ problem will be caused since nodes near sink will consume more energy during forwarding. Recently, mobile sink based technology provides an alternative solution for the long-distance communication and sensor nodes only need to use single hop communication to the mobile sink during data transmission. Even though it is difficult to consider many network metrics such as sensor position, residual energy and coverage rate etc., it is still very important to schedule a reasonable moving trajectory for the mobile sink. In this paper, a novel trajectory scheduling method based on coverage rate for multiple mobile sinks (TSCR-M) is presented especially for large-scale WSNs. An improved particle swarm optimization (PSO) combined with mutation operator is introduced to search the parking positions with optimal coverage rate. Then the genetic algorithm (GA) is adopted to schedule the moving trajectory for multiple mobile sinks. Extensive simulations are performed to validate the performance of our proposed method.

Keywords


Cite This Article

APA Style
Wang, J., Gao, Y., Zhou, C., Sherratt, R.S., Wang, L. (2020). Optimal coverage multi-path scheduling scheme with multiple mobile sinks for wsns. Computers, Materials & Continua, 62(2), 695-711. https://doi.org/10.32604/cmc.2020.08674
Vancouver Style
Wang J, Gao Y, Zhou C, Sherratt RS, Wang L. Optimal coverage multi-path scheduling scheme with multiple mobile sinks for wsns. Comput Mater Contin. 2020;62(2):695-711 https://doi.org/10.32604/cmc.2020.08674
IEEE Style
J. Wang, Y. Gao, C. Zhou, R.S. Sherratt, and L. Wang "Optimal Coverage Multi-Path Scheduling Scheme with Multiple Mobile Sinks for WSNs," Comput. Mater. Contin., vol. 62, no. 2, pp. 695-711. 2020. https://doi.org/10.32604/cmc.2020.08674

Citations




cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 7043

    View

  • 3019

    Download

  • 1

    Like

Share Link