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海洋监测无线传感器网络的节点数目量化分析 被引量:5

Quantitative analysis on sensor number of ocean surveillance wireless sensor networks
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摘要 随着无线传感器网络技术应用于海洋监测,节点的部署及网络的性能必然受到海面环境的影响。文中引入并改进了在海洋搜救中常用的Leeway漂流模型,对随机部署在海洋表面的传感器节点运动状态进行建模。仿真分析了在不同海况下,传感器网络区域覆盖率及网络连通性受其运动状态的影响。最后,从工程应用的角度提出对于特定区域的持续监测时间这一概念,来衡量运动的传感器网络对于特定海域的监测能力,仿真并验证给出了满足该指标所要部署节点的具体数目。 Oceanic environment would have effect on sensor displacement and the capability of networks as wireless sensor networks are promising tools for ocean surveillance.In this paper,Leeway drift model that is often used in ocean search and rescue is introduced and modified in order to capture the physical movement of sensor nodes with ocean current,which are randomly displaced on the surface of sea.The coverage and connectivity of network are related with the mobility of sensor nodes,especially under different sea states.Finally,we propose last-surveillance-time regarding certain area as a new criterion to reflect the surveillance capability of mobile sensor networks in practice,and present the number of sensor nodes then verify it under different sea states based on this criterion.
出处 《电子测量技术》 2012年第5期107-113,共7页 Electronic Measurement Technology
关键词 海洋监测 无线传感器网络 漂流模型 持续监测时间 ocean surveillance wireless sensor networks(WSNs) drift model last-surveillance-time
作者简介 刘磊,男,1985年出生,工学博士,主要研究方向为海洋遥感,信号与信息处理。E—mail:liulei211@163.com王小青,男,1978年出生,副研究员,主要研究方向海洋遥感,雷达信号与信息处理。
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