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Energy-Efficient Routing Control Algorithm in Large-Scale WSN for Water Environment Monitoring with Application to Three Gorges Reservoir Area

机译:大型无线传感器网络水环境监测中的节能路由控制算法及其在三峡库区的应用

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摘要

The typical application backgrounds of large-scale WSN (wireless sensor networks) for the water environment monitoring in the Three Gorges Reservoir are large coverage area and wide distribution. To maximally prolong lifetime of large-scale WSN, a new energy-saving routing algorithm has been proposed, using the method of maximum energy-welfare optimization clustering. Firstly, temporary clusters are formed based on two main parameters, the remaining energy of nodes and the distance between a node and the base station. Secondly, the algorithm adjusts cluster heads and optimizes the clustering according to the maximum energy-welfare of the cluster by the cluster head shifting mechanism. Finally, in order to save node energy efficiently, cluster heads transmit data to the base station in single-hop and multihop way. Theoretical analysis and simulation results show that the proposed algorithm is feasible and advanced. It can efficiently save the node energy, balance the energy dissipation of all nodes, and prolong the network lifetime.
机译:三峡水库大型WSN(无线传感器网络)用于水环境监测的典型应用背景是覆盖面积大,分布范围广。为了最大程度地延长大规模无线传感器网络的寿命,提出了一种新的节能路由算法,即采用最大能量福利优化聚类的方法。首先,基于两个主要参数,即节点的剩余能量和节点与基站之间的距离,形成临时集群。其次,该算法通过簇头移动机制,根据簇的最大能量福利,调整簇头,优化簇。最后,为了有效地节省节点能量,簇头以单跳和多跳的方式将数据传输到基站。理论分析和仿真结果表明,该算法是可行且先进的。它可以有效地节省节点能量,平衡所有节点的能量消耗,并延长网络寿命。

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