无线传感器网络中高效簇头选择技术研究

Ankita Bhusari, P. Ganjewar
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引用次数: 1

摘要

在无线传感器网络(WSN)中,某些区域被大量传感器节点所覆盖。这些传感器节点体积很小,电池电量有限,处理能力和带宽都很低。无线传感器网络需要降低能耗以延长网络寿命。近年来,无线传感器网络在军事观察、跟踪、事件查核和审计、灾害管理和战场侦察等方面的应用有了很大的增长。传感器节点由这些应用程序组成,这些应用程序彼此之间距离很远。这些节点用于分析环境。聚类包括将传感器节点分组,然后从每个集群中选出一个簇头,对每个节点的数据进行聚合,然后将采集到的数据转发给基站。这有助于减少传感器节点的能量,并节省其进一步使用。聚类传感器可以节省能量,从而提高传感器节点的寿命。聚类传感器是延长网络生存期的重要方法之一。因此,簇头节点的选择对于提高网络的生存期和剩余能量水平变得越来越重要。蜜蜂优化利用了几个参数,这些参数在EDC技术上被用来熟练地确定簇头。这种方法有助于减少能源利用。该策略分为三个阶段:集群节点向CH发送信息,CH专门向Leader发送信息,先锋节点向BS发送信息。在本调查中,我们做了一个小的努力来研究所有的算法,帮助选择一个有效的簇头,使能量消耗最小化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Study on Energy Efficient Cluster Head Selection Techniques in Wireless Sensor Networks
In the wireless sensor network (WSN), certain areas are covered by huge amount of sensor nodes. These sensor nodes are tiny in size with limited battery power, less processing power, less bandwidth. Wireless sensor networks need to decrease energy consumption in order to increase network lifetime. In last few years it is observed that there is tremendous increase in the usage of WSN’s such as military observations, following, checking and auditing events, calamity management and battle field reconnaissance. Sensor nodes are comprised in these applications that are set up at a far distance from each other in large numbers. These nodes are used to analyze the environment. Clustering includes making groups of sensor nodes and then electing one cluster head from each cluster to assemble data from each node, aggregate the data and then forward the gathered data to the base station. This helps in decreasing the energy of sensor node and save it for further use. Clustering sensors can save energy and hence enhance the lifetime of sensor nodes. Clustering sensors are one of the important methods to enlarge the network lifetime. Hence the selection of cluster head node is becoming more important in order to boost the lifetime of the network and remaining energy level. Honey bee Optimization utilizes a few parameters that are employed over the EDC technique for proficient cluster head determination. This methodology helps in diminishing energy utilization. This strategy works in three phases: Cluster nodes send information to CH, CH sends information specifically to Leader and pioneer sends information to BS. In this survey, a small effort is done to study all algorithms that help in selecting an efficient cluster head that minimizes the energy consumption.
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