一种面向舰船状态监视的分层无线传感器网络构建方法

摘要

基于无线传感器网络的舰船状态监视是实现舰船自身状态和设备的测试、故障诊断和监控信息化的重要技术趋势.面向舰船状态监视需求,分析现有无线传感器网络面临的挑战,设计了一种基于图模型的成簇和网络构建方法——GCN Model.该方法以节点度、剩余能量、通信代价为依据的竞争性算法为核心,显著降低了大规模无线传感器网络能耗,提高了网络能量消耗的均衡性.此外,实现了GCNP协议,且在MICA2节点上的实验结果表明,GCNP在网络节点能耗消耗均匀性、网络平均生存时间、网络快速恢复时间等指标上优于CTP算法,能够满足舰船状态监视需求.%Wireless sensor network for the vessel-oriented monitoring systems is an important technical trend in realizing the ship's own state and equipment testing, fault diagnosis and information monitoring. Facing the requirements of ship's condition monitoring, the challenges of encountered with by the existing wireless sensor networks are analyzed, and the clustering and network construction method based on graph model --GCN Model is designed. The method, with the node degree, residual energy and communication cost as the core of the competitive algorithm, could significantly reduce the energy consumption of large-scale wireless sensor networks, and improve the balance of network energy consumption. In addition, the proposed method implements the GCNP protocol. Experimental results on the MICA2 node indicate that, GCNP outperforms the CTP algorithm in terms of energy consumption, network uniformity, average lifetime and fast recovery time of network nodes, and could thus meet the requirement of vessels condition monitoring.