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Dynamic topology construction of wireless sensor network using computational geometric approach

机译:基于计算几何方法的无线传感器网络动态拓扑构建

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Monitoring a large area with wireless sensor networks (WSNs) requires a very large number of sensor nodes which entails more energy consumption. One of the main design challenges in the WSNs is energy efficiency to prolong the network operable lifetime. Generally, most of the energy is spent for radio communication between sensor nodes. Another important requirement of WSN is that it should be self-organising, i.e. sensing ranges and transmission ranges are dynamically restructured with changing topology. Moreover, sensor nodes with variable sensing and transmission ranges facilitate less energy consumption and enhance the capacity of WSN significantly. An effective approach for energy conservation is turning off extraneous nodes, while the remaining nodes stay active to provide continuous monitoring service. An efficient planning of WSN using this approach can control the energy consumption of the whole network. In this paper, by using computational geometry theoretic, we propose a general algorithmic framework for dynamic topology construction of WSN for a given environmental monitoring application.
机译:使用无线传感器网络(WSN)监视大面积区域需要大量的传感器节点,这将消耗更多的能源。 WSN的主要设计挑战之一是提高网络可使用寿命的能效。通常,大部分能量都用于传感器节点之间的无线电通信。 WSN的另一个重要要求是它应该是自组织的,即,随着变化的拓扑结构,传感器范围和传输范围可以动态地重组。此外,具有可变感应和传输范围的传感器节点可减少能耗并显着提高WSN的容量。一种有效的节能方法是关闭外部节点,而其余节点保持活动状态以提供连续的监视服务。使用这种方法的WSN高效规划可以控制整个网络的能耗。在本文中,通过使用计算几何理论,我们为给定的环境监测应用提出了一种用于WSN动态拓扑构建的通用算法框架。

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