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Particle Swarm Inspired Underwater Sensor Self-Deployment

机译:粒子群启发水下传感器的自我部署

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摘要

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.
机译:水下传感器网络(UWSN)可以应用于海洋资源侦察,污染监测和辅助导航等领域,已经成为无线传感器网络研究的热点。在开放和复杂的水下环境中,目标(事件)往往具有很高的动态性和不确定性。部署传感器以最佳方式覆盖潜在事件非常重要。本文介绍了水下传感器的部署问题及其性能评估指标。此外,提出了一种粒子群启发式传感器自部署算法。通过模拟粒子的飞行行为并引入人群控制,该算法可以驱动传感器覆盖几乎所有事件,并使传感器的分布与事件的分布相匹配。通过广泛的仿真,我们证明了它可以有效地解决水下传感器部署问题,收敛速度快,并且易于分布式实现。

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