Poster: A Lightweight Robust Routing in Strip Wireless Sensor Network with Edge Detect Based Region Divided

Yue Hu, Chen Liu, Dan Xu, Wei Wang, Anwen Wang
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Abstract

Wireless Sensor Networks (WSNs) have been applied to many long-term monitoring applications like pipeline monitoring and water quality monitoring. However, current WSNs based traditional Geographic Opportunistic Routing (GOR) only focus on the straight regular area, but when comes to the curve strip network, GOR will lose the packet and have a high energy consumption. This paper introduces a robust routing that brings edge detection based region divide and Virtual Sinks to GOR in strip network. Unlike past WSNs routing strategies, this method can cope with the complicated strip network with different curvature in the natural region by dividing them into different sub-regions. As a result, the probability of successful rate is improved up to 91.3%, and the energy consumption rate is reduced up to 3.1%.
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海报:一种基于边缘检测的区域划分带状无线传感器网络的轻量级鲁棒路由
无线传感器网络(WSNs)已经应用于管道监测和水质监测等许多长期监测应用中。然而,目前基于传统地理机会路由(GOR)的无线传感器网络只关注直线规则区域,而当涉及到曲线条形网络时,GOR会丢包且能耗高。介绍了一种将基于边缘检测的区域分割和虚拟sink技术引入条带网络GOR的鲁棒路由。与以往的WSNs路由策略不同,该方法通过将自然区域中曲率不同的复杂条形网络划分成不同的子区域来处理。结果,成功率提高到91.3%,能耗率降低3.1%。
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