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A new Clustering algorithm for an Energy Efficient WSN that Monitors HVTTs: Modified Multi Clustering

机译:一种新的集群算法,用于监视HVTTS的节能WSN:修改了多聚类

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In this paper, a new clustering algorithm is developed to design an energy efficient Wireless Sensor Network (WSN) for monitoring High Voltage Transmission Towers (HVTTs), Modified Multi Clustering (MMC) algorithm. MMC algorithm optimizes communication distance between routing nodes and the data traffic in the network. To design a WSN based on MMC algorithm, a RF transceiver that can reach long distances such as 10 km is needed. So, Long Range (LoRa) transceivers are considered for this paper, and electrical characteristics of Microchip RN293 LoRa transceiver are used to realize simulations of WSN designs based on MMC algorithm. The Classic Clustering (CC) algorithm is considered to compare energy efficiency, so the second WSN is designed by using the CC algorithm. Simulations shows that the maximum overall energy required per day for a single HVTT in a network of 100 HVTTs is 10.76 Joules per day for the WSN design based on MMC algorithm, and the maximum overall energy required per day for a single HVTT in a network of 100 HVTTs is 19.90 Joules per day for the WSN design based on the CC algorithm.
机译:在本文中,开发了一种新的聚类算法来设计一个用于监控高压传输塔(HVTTS),改进的多聚类(MMC)算法的节能无线传感器网络(WSN)。 MMC算法优化路由节点之间的通信距离和网络中的数据流量。为了基于MMC算法设计WSN,需要达到长距离的RF收发器,例如10公里。因此,考虑了该纸张的长范围(LORA)收发器,微芯片RN293 LORA收发器的电气特性用于实现基于MMC算法的WSN设计的模拟。经典聚类(CC)算法被认为比较能效率,因此通过使用CC算法设计了第二个WSN。模拟表明,基于MMC算法的WSN设计,网络中的单个HVTT的单个HVTT在100 HVTT中为每天所需的最大总能量为10.76焦耳,以及网络中单个HVTT的每天所需的最大总能量基于CC算法的WSN设计,每天100 HVTTS为19.90焦耳。

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