Power-Control-Based Energy-Efficient Deployment for Underwater Wireless Sensor Networks With Asymmetric Links
Heng Wen, Shanshan Song, Zheng Peng, Xiaoxin Guo, Cangzhu Xu, Yiran Wang, Lipeng Huo, Jun‐Hong Cui
Abstract
Underwater wireless sensor networks (UWSNs) can provide services to the ocean. The deployment is one of the key problems in UWSNs. Optimizing networks power consumption and coverage has always been a huge challenge in deployment. Existing deployment models do not consider the asymmetric-link phenomenon and power control. In this paper, a new multi-objective optimization deployment model with power control in UWSNs is proposed to obtain a deployment scheme, which reduces the power consumption, and the asymmetric-link phenomenon is considered. At the same time, due to the unsatisfactory optimization performance and stability of some current algorithms, this paper proposes an algorithm named Crow-Colony Search Optimization Algorithm (C-CSOA) to optimize the deployment scheme. In this algorithm, we adopt the framework of Colony Search Optimization Algorithm (CSOA). In addition, we combine the advantages of Crow Search Algorithm (CSA) and CSOA to improve the optimization performance of the algorithm. We conducted simulation experiments, and the results indicate that: First, the model we proposed is feasible. Second, an efficient deployment scheme can be obtained by C-CSOA. Third, when reaching the predetermined network coverage, the total power consumption of UWSNs is significantly reduced (nearly 23.93% in average). By comparing with various advanced optimization algorithms, it is showed that C-CSOA has advantages of the good optimization performance and the small standard deviation.