CHOP:基于睡眠和唤醒技术的WSN最大覆盖优化和洞愈合问题

IF 1.7 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Vipul Narayan, A. Daniel
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引用次数: 9

摘要

传感器节点(SN)在军事监视、森林、战场等各种危险应用环境中发挥着重要作用。无线传感器网络(WSN)由多个传感器节点组成,这些节点用于感知物理状况并随后将数据传输到基站(BS)。节点的电池有限。由于节点在危险区域的随机分布,导致网络中存在节点重叠和覆盖孔问题。为了优化网络重叠和解决覆盖空洞问题,提出了覆盖优化和解决空洞修复(CHOP)协议。该协议的工作阶段为网络初始化、簇的形成、簇头的选择、睡眠和唤醒阶段。这些问题得到了优化,并为特定的传感范围实现了最大的覆盖。利用统计和概率论,在节点半径和覆盖区域之间建立联系。该协议使用睡眠和觉醒阶段来选择最优的活动节点,以实现最大的覆盖。与LEACH、TEEN、SEP和DEEC协议相比,所提出的协议在网络性能和生命周期方面表现出色。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CHOP: Maximum Coverage Optimization and Resolve Hole Healing Problem using Sleep and Wake-up Technique for WSN
The Sensor Nodes (SN) play an important role in various hazardous applications environments such as military surveillance, forests, battlefield, etc. The Wireless Sensor Network (WSN) comprised multiple numbers of sensor nodes which are used to perform sensing the physical conditions and subsequently transmitting data to the Base Station (BS). The nodes have limited batteries. The random distribution of nodes in the hazardous areas causes overlapping of nodes and coverage hole issues in the network. The Coverage Optimization and Resolve Hole Healing (CHOP) Protocol is proposed to optimize the network's overlapping and resolve the coverage hole problem. The working phases of the proposed protocol are network initialization, formation of the cluster, Selection of Cluster Head, and sleep and wake-up phase. The issues are optimized, and maximum coverage is achieved for a specific sensing range. Using statistics and probability theory, a link is established between the radius of the node and the coverage area. The protocol used the sleep and wake phase to select optimal nodes active to achieve maximum coverage. The proposed protocol outperformed and showed improvements in the network's performance and lifetime compared to LEACH, TEEN, SEP, and DEEC protocols.
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来源期刊
CiteScore
1.40
自引率
0.00%
发文量
22
审稿时长
4 weeks
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