A Low-Energy Adaptive Clustering Hierarchy Architecture with an Intersection-Based Coverage Algorithm in Wireless Sensor Networks

Young-Long Chen, F. Cheung, Yung-Chi Chang
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引用次数: 4

Abstract

In wireless sensor networks (WSNs), the sensor nodes are randomly deployed, and energy is limited. Energy consumption reduction is therefore very important. To extend the system lifetime, we used the intersection-based coverage algorithm (IBCA) to address lifetime, its introduction causes sensor nodes to enter sleep mode when not operating. This algorithm can achieve reduced energy consumption in transmission. And we then combine IBCA with Low-energy adaptive clustering hierarchy (LEACH) architecture to improve system performance. Simulation results show that the performance of our proposed LEACH architecture with IBCA perform better than LEACH architecture with phase-based coverage algorithm (PBCA) in terms of energy consumption, number of surviving nodes and sensing areas.
基于交叉覆盖算法的无线传感器网络低能量自适应聚类层次结构
在无线传感器网络(WSNs)中,传感器节点是随机部署的,能量有限。因此,减少能源消耗非常重要。为了延长系统的生命周期,我们使用了基于交集的覆盖算法(IBCA)来处理生命周期,它的引入使传感器节点在不工作时进入睡眠模式。该算法可以降低传输过程中的能量消耗。然后将IBCA与低能量自适应聚类层次结构(LEACH)相结合以提高系统性能。仿真结果表明,基于IBCA的LEACH架构在能量消耗、存活节点数量和感知区域方面都优于基于相位覆盖算法(PBCA)的LEACH架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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