An Effective Scheduling Algorithm for Coverage Control in Underwater Acoustic Sensor Network

• Published in: Sensors (Basel, Switzerland) Vol. 18; no. 8; p. 2512
• Main Authors: Wang, Hui, Li, Youming, Chang, Tingcheng, Chang, Shengming
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.08.2018; MDPI
• Subjects: Algorithms; coverage maintenance; Energy consumption; memetic algorithm; Scheduling; sleep–wake scheduling; underwater acoustic sensor network; coverage maintenance; underwater acoustic sensor network; sleep–wake scheduling; memetic algorithm
• ISSN: 1424-8220; 1424-8220
• DOI: 10.3390/s18082512

Coverage maintenance is a bottleneck restricting the development of underwater acoustic sensor networks (UASNs). Since the energy of the nodes is limited, the coverage of UASNs may gradually decrease as the network operates. Thus, energy-saving coverage control is crucial for UASNs. To solve the above problems, this paper proposes a coverage-control strategy (referred to as ESACC) that establishes a sleep–wake scheduling mechanism based on the redundancy of deployment nodes. The strategy has two main parts: (1) Node sleep scheduling based on a memetic algorithm. To ensure network monitoring performance, only some nodes are scheduled to work, with redundant nodes in a low-power hibernation state, reducing energy consumption and prolonging the network lifetime. The goal of node scheduling is to find a minimum set of nodes that can cover the monitoring area, and a memetic algorithm can solve this problem. (2) Wake-up scheme. During network operation, sleeping nodes are woken to cover the dead nodes and maintain high coverage. This scheme not only reduces the network energy consumption but takes into account the monitoring coverage of the network. The experimental data show that ESACC performs better than current algorithms, and can improve the network life cycle while ensuring high coverage.