Open Access

ARTICLE

Coverage Control for Underwater Sensor Networks Based on Residual Energy Probability

Jinglin Liang^1,2, Qian Sun^1,2,*, Xiaoyi Wang^3,2, Jiping Xu^1,2, Huiyan Zhang^1,2, Li Wang^1,2, Jiabin Yu^1,2, Jing Li⁴, Ruichao Wang⁵

1 School of Artificial Intelligence, Beijing Technology and Business University, Beijing, 100048, China
2 Beijing Laboratory for Intelligent Environmental Protection, Beijing, 100048, China
3 Beijing Institute of Fashion Technology, Beijing, 100029, China
4 Smart City College, Beijing Union University, Beijing, 100101, China
5 University College Dublin, Dublin4, Ireland

* Corresponding Author: Qian Sun. Email:

Computers, Materials & Continua 2022, 73(3), 5459-5471. https://doi.org/10.32604/cmc.2022.029362

Received 02 March 2022; Accepted 17 May 2022; Issue published 28 July 2022

Abstract

Underwater sensor networks have important application value in the fields of water environment data collection, marine environment monitoring and so on. It has some characteristics such as low available bandwidth, large propagation delays and limited energy, which bring new challenges to the current researches. The research on coverage control of underwater sensor networks is the basis of other related researches. A good sensor node coverage control method can effectively improve the quality of water environment monitoring. Aiming at the problem of high dynamics and uncertainty of monitoring targets, the random events level are divided into serious events and general events. The sensors are set to sense different levels of events and make different responses. Then, an event-driven optimization algorithm for determining sensor target location based on self-organization map is proposed. Aiming at the problem of limited energy of underwater sensor nodes, considering the moving distance, coverage redundancy and residual energy of sensor nodes, an underwater sensor movement control algorithm based on residual energy probability is proposed. The simulation results show that compared with the simple movement algorithm, the proposed algorithm can effectively improve the coverage and life cycle of the sensor networks, and realize real-time monitoring of the water environment.

---

Keywords

---