无线Ad-Hoc网络中的孤立节点定位概率

Souparnika Jadhav, K. N. Nagesh
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引用次数: 0

摘要

支持节点本地化的无线传感器网络由于其更快的执行速度、高覆盖面积、性能和连接性而在实时中获得了极大的普及。它可以实现无线传感器网络的高连通性和覆盖面积等首要目标。为了充分利用无线传感器网络,实现传感器网络节点与网关之间的高连通性是至关重要的。为此,本文提出了一种基于概率分析的无线传感器网络局部孤立节点定位方法,以精确定位孤立节点的概率,增强节点间的连通性,提高覆盖面积和可扩展性。采用局部协作对方法进行孤立节点识别,保证了系统的高连通性。实验结果验证了本文提出的隔离节点定位模型在传感器节点之间的距离、高连通性和覆盖面积、在网络边界重合时识别隔离传感器节点位置以及在搜索节点间连通性时考虑信道随机性等方面的优越性。
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Isolated Node Localization Probablity in Wireless Ad-Hoc Networks
Node Iocalization enabled wireless sensor network has gained immense popularity in real time due to its faster execution, high coverage area, performance and connectivity. It can achieve the primary objectives such as high connectivity and coverage area in wireless sensor networks. To completely exploit the wireless sensor networks, it is very essential to achieve a high connectivity between sensor nodes and gateways of sensor networks. Therefore, here, we have introduced a novel Local Isolated Node Localization in Wireless Sensor Networks based on probability analysis to locate the isolate node probability precisely, enhance connectivity between nodes and improve coverage area and scalability. A local collaborative pair method is introduced for isolated node recognition and ensures high connectivity. Experimental results verifies superiority of our proposed Isolated Node Localization model in terms of distance between sensor nodes, high connectivity and coverage area, identification of isolated sensor node location when networks are coinciding with each other at the boundaries and it also consider channel randomness while searching for connectivity between nodes.
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