功率感知聚合搜索:增强传感器网络频谱和能量效率

Neeti Gupta, Vidushi Sharma
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引用次数: 0

摘要

随机选择适当范围簇头(SEARCH)是一种半集中式的簇头选择方法,它以一种成本有效的方式在每轮中提供大量的簇头。该算法通过提出功率感知聚合搜索,进一步改进了算法,以降低能耗,提高吞吐量,提高稳定周期,从而提高网络生命周期。通过平衡网络中的功率需求和传感器节点级别的数据本地聚合,可以显著提高吞吐量,降低能耗,延长传感器网络的寿命。该技术为实现基于采集器传感器节点级数据聚合的频谱高效物联网网络铺平了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Power-aware Aggregated SEARCH: Enhancing Spectrum and Energy Efficiency of Sensor Networks
Stochastic Election of Appropriate Range Cluster Heads (SEARCH) represents a semi-centralized, cluster head selection method that provides significant number of cluster heads in each round in a cost effective manner. The algorithm has been further refined for reduced energy consumption, higher throughput, improved stable period and therefore improved network lifetime by proposing Power-aware Aggregated SEARCH. Balancing the power requirement in the network along with local aggregation of data at the level of sensor nodes, result in significant improvement in throughput, reduced energy consumption and prolongs the lifetime of sensor network. The proposed technique paves a way to attain spectrum efficient IoT networks based on data aggregation at level of collector sensor nodes.
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