水下移动传感器网络中自适应安全定位的关键问题研究

随着世界各国跟海洋有关的军事和民用需求不断涌现，水下定位技术在海防、水下勘探、水下探测及监视等领域表现出很强的研究及应用价值。目前定位技术在复杂水环境中还未能充分发挥其作用，其根本原因在于缺乏有效的方法消除复杂水环境中的信号干扰和恶意攻击来保证传感器节点定位的安全性和精确性。本课题将深入解析水下移动传感器网络环境中的安全定位技术，拟采用混沌论等方法，研究水下锚节点的位置部署和移动路径规划，提高定位精度；研究基于模糊逻辑等方法的水下传感器节点的跨层式信任机制，增强未知节点的定位安全性；在锚节点路径规划和节点信任机制研究的基础上，拟采用优化论等数学工具提出多锚节点动态协同的自适应安全定位方法，在保证未知节点定位安全性和定位精度的同时，减少定位能耗、延长网络寿命。本课题的研究对探索水下移动传感器网络的安全定位技术及应用具有重要的理论价值和实际意义。

With the increasing marine military and civilian demands from all over the world, underwater localization is of great theoretical and practical importance in coastal defense, underwater exploration, underwater monitoring and many other fields. However, localization technology has not been fully utilized in complex underwater environment due to the lack of effective methods guaranteeing localization security and accuracy under various underwater signal inferences and malicious attacks. This project is to study the security localization technology in underwater mobile sensor networks. First, the Chaos theory is adopted to study anchor nodes' deployment and movement models to improve localization accuracy. Then, based on the Fuzzy theory, the cross layer trust mechanism is studied for underwater sensor nodes to improve localization security. Furthermore, the optimization theory is adopted to guarantee the lifetime of entire network. Based on the path planning method of anchor nodes and the cross layer trust mechanism, the PIs propose an adaptive security localization method to further improve localization accuracy and security of unknown nodes, and simultaneously reduce sensor nodes' energy consumption, prolong network lifetime. The project is of great theoretical value and practical significance to the security localization technology and its applications in underwater mobile sensor networks.