Optimal Mobile Sensor Scheduling for a Guaranteed Coverage Ratio in Hybrid Wireless Sensor Networks

Author:

Fu Zhixin12,You Keyou3ORCID

Affiliation:

1. College of Energy and Electrical Engineering, Hohai University, Nanjing, Jiangsu 211100, China

2. Research Center for Renewable Energy Generation Engineering of Ministry of Education, Hohai University, Nanjing, Jiangsu 210098, China

3. Department of Automation, Tsinghua University, Beijing 100084, China

Abstract

This paper proposes an optimal mobile sensor-scheduling algorithm for recovering the failure sensors in hybrid wireless sensor networks (WSNs). To maintain a guaranteed coverage over the area of interest, spare mobile sensors in WSNs will be activated to replace the failure sensors. The optimal scheduling problem is formulated into two optimization problems, one of which precisely determines the minimum value of the largest distance required to travel for mobile sensors, while the other one gives the optimal dispatch for mobile sensors to minimize the total travel distance. Furthermore, a distributed suboptimal scheduling, which only requires the local matching information of mobile sensors, is developed as well. Both regular and random network topologies are provided to illustrate the proposed algorithms in the simulation.

Funder

Natural Science Foundation of Jiangsu Province of China

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

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1. A Novel Privacy-Preserving Mobile-Coverage Scheme Based on Trustworthiness in HWSNs;Wireless Communications and Mobile Computing;2021-06-16

2. MCTA: Mobile-Coverage Scheme Based on Trust-Aware for Hybrid WSNs;2021 IEEE 11th Annual Computing and Communication Workshop and Conference (CCWC);2021-01-27

3. Energy Efficient Sensor Deployment with TCOV and NCON in Wireless Sensor Networks;International Journal of Embedded and Real-Time Communication Systems;2020-01

4. Lifetime Maximization of Target-Covered WSN Using Computational Swarm Intelligence;Advances in Wireless Technologies and Telecommunication;2019

5. Minimizing Movement for Target Coverage and Network Connectivity in Mobile Sensor Networks;IEEE Transactions on Parallel and Distributed Systems;2015-07-01

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