ML-LEACH: Multi-Level LEACH for uniformly distributed clusters and low energy consumption
ML-LEACH: Multi-Level LEACH for uniformly distributed clusters and low energy consumption
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DOI：
10.1145/3293614.3293633
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发表时间：
2018-11
期刊：
影响因子：
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通讯作者：
Atef Boubaker;Saoussen Rekhis;Wassim Jerbi
中科院分区：
文献类型：
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作者：
Atef Boubaker;Saoussen Rekhis;Wassim Jerbi
无线传感器网络(WSN)通常是由电池供电的设备。由于能量消耗随着通信距离的增加呈指数级增长，多跳路由对于节约能量、延长网络生命周期非常有利。基于这些原因，本文提出了ML-LEACH协议，该协议将大规模网络均匀地划分为不同的层。在每一层中进行簇头选举，以保持对整个监控网络区域的覆盖。每一层的簇头与相邻的上层节点协作，将传感器数据传输到基站。因此，我们构建了一个多层次的层次结构，以减少传感器节点之间的通信距离，更好地在节点之间分配能量负载，特别是在网络密度较高的情况下。仿真结果表明，与其他方法相比，ML-LEACH协议在能量消耗、覆盖范围和连通性方面都有明显的改善。
Wireless Sensor Networks (WSN) are generally battery-powered devices. As energy consumption increases exponentially with communication distance, multi-hop routing is very advantageous to save energy and prolong network lifetime. For these reasons, we propose, in this paper, ML-LEACH (Multi-Level clustering for Low Energy Adaptive Clustering Hierarchy) protocol that partitions uniformly a large-scale network into different layers. The election of cluster heads is performed in each layer to keep coverage of the whole monitored network area. Cluster heads in each layer collaborate with the adjacent upper layer to transmit sensor's data to the base station. Accordingly, we build a multi-level hierarchy to reduce the communication distance between sensor nodes and better distribute the energy load among them especially when the density of network is higher. Simulation results show that the proposed ML-Leach protocol achieves significant improvements in term of energy consumption, coverage and connectivity compared to other approaches.