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.
Highlights
Underwater Sensor Networks (UWSNs) are underwater monitoring network systems consisting of sensor nodes with computing and acoustic communication abilities
Sea-bottom sensor deployment is similar to land sensor placement with regards to research objectives and methods, and does not truly reflect the characteristics of Underwater sensor networks (UWSNs)
Inspired by particle swarm systems, and we propose particle swarm inspired underwater sensor deployment algorithm (PSSD), a distributedly realizable underwater sensor deployment algorithm
Summary
Underwater Sensor Networks (UWSNs) are underwater monitoring network systems consisting of sensor nodes with computing and acoustic communication abilities. Sea-bottom sensor deployment is similar to land sensor placement with regards to research objectives and methods, and does not truly reflect the characteristics of UWSNs. In most applications, we need to collect the three-dimensional information of an underwater environment. In this category, sensors are deployed in the three-dimensional underwater space. The objective of sensor deployment is to cover the events and make the distribution of sensors match that of the events This kind of research is close to practice, and reflects the sparsity characteristic of UWSNs. existing methods fall short in the following aspects:. (4) The performance evaluation metrics of the event-driven underwater sensor deployment are not fully quantifiable To address these problems, we study the problem of three-dimensional underwater sensor deployment with the non-uniform coverage requirement.
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