Abstract: Underwater sensor networks (UWSNs) can be applied in sea resource reconnaissance, pollution monitoring and assistant navigation, etc., and have become a hot research field in wireless sensor networks. In open and complicated underwater environments, targets (events) tend to be highly dynamic and uncertain. It is important to deploy sensors to cover potential events in an optimal manner. In this paper, the underwater sensor deployment problem and its performance evaluation metrics are introduced. Furthermore, a particle swarm inspired sensor self-deployment algorithm is presented. By simulating the flying behavior of particles and introducing crowd control, the proposed algorithm can drive sensors to cover almost all the events, and make the distribution of sensors match that of events. Through extensive simulations, we demonstrate that it can solve the underwater sensor deployment problem effectively, with fast convergence rate, and amiable to distributed implementation.
In order to carry out effective coverage of the events in the monitored waters, Du et al. REF proposed a particle swarm-inspired underwater sensor network deployment algorithm in which the particle swarm optimization and the congestion control were combined in order to solve the network coverage problems effectively.
Particle Swarm Inspired Underwater Sensor Self-Deployment
Sensors (Basel, Switzerland)
Sensors (Basel, Switzerland)
Medicine Engineering Computer Science