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水下无线传感器网络能力分析与评估方法 被引量:2

Capability analysis and evaluation methods of underwater wireless sensor network
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摘要 水下无线传感器网络(underwater wireless sensor network,UWSN)综合能力受到传感器能量消耗、探测半径以及网络拓扑等复杂因素影响,为了应对UWSN综合能力评估的挑战性难题,分析了UWSN综合能力与影响参数之间的关系。将UWSN综合能力划分为覆盖能力、连通能力、耐久能力和快速反应能力4个方面,将影响参数划分为约束参数、设备参数和组网参数,提出了覆盖能力、连通能力、耐久能力和快速反应能力的度量模型及UWSN综合能力评估过程模型,实现通过优化调整组网参数,使网络在不同任务和环境下具有优越的整体性能通过仿真平台和仿真试验,结果表明提出模型能较客观计算UWSN的综合能力。 The comprehensive network capacity of an underwater wireless sensor network (UWSN) is affected by complicated factors such as energy consumption, detection radius, and network topology. Thus, networking capa- bility evaluation of UWSN is a challenging issue. To deal with this issue, through an analysis of the relationship be- tween these impact parameters and capability, the capability of UWSN was divided into four items, namely, coverage, connectivity, durability, and rapid reactivity. The parameters that affect the capability items are constraint parameters, device performance, and networking parameters. Measurement models of the abovementioned four capa- bility items were established originally, and the networking capability evaluation process model was presented. Then, an optimal combination of networking parameters can be achieved. The network can achieve advantageous systematic performance under different tasks and environments. Simulation results show that the approach evaluates the capability of UWSN in an objective and efficient manner.
作者 韦正现 宋敏 印桂生 王红滨 WEI Zhengxian;SONG Min;YIN Guisheng;WANG Hongbin(College of Computer Science and Technology, Harbin Engineering University, Harbin 150001, China;CSSC System Engineering Research Institute, Beijing 100094, China;Information Technology Center, Beijing Foreign Studies University, Beijing 100089, China)
出处 《哈尔滨工程大学学报》 EI CAS CSCD 北大核心 2017年第10期1531-1538,共8页 Journal of Harbin Engineering University
基金 国家自然科学基金项目(61502037 61272185) 国防基础科研项目(JCKY2016206B001 JCKY2014206C002) 黑龙江省自然科学基金项目(F201340)
关键词 水下无线传感器网络 覆盖 连通 耐久 快速反应 评估 约束参数 设备参数 组网 underwater wireless sensor network coverage connectivity durability rapid-reactivity evaluation constraint parameters device performance parameters networking
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