Energy Efficient Recursive Clustering and Gathering in Big Data for Wireless Sensor Networks

Author:

Subaselvi S.,Manimekalai T.,Gunaseelan K.

Abstract

Big data is one of the emerging technology in Wireless Sensor Networks (WSN). Gathering of data is the biggest challenge for implementing big data in WSN. In WSN, the frequent information communications between the nodes are inevitable. Moreover, the long distance communication between the nodes in the network lead to reduction in the lifetime of the nodes. In order to reduce communication distance between the nodes and to efficiently gather large amount of data. Energy Efficient Recursive Clustering and Gathering for big data in WSN is proposed. In proposed algorithm, the grid area will be divided into zones. The zones are divided by finding the minimum and maximum X and Y from the nodes location and distribution of nodes in the network. In each zone, clusters are formed in recursive manner. After the clusters are formed in recursive manner, for every cluster, the Cluster Administrator are elected based on the maximum energy among the nodes in the cluster. Once the Cluster Administrators are elected, the Cluster Administrator which has the maximum energy in the Zone, will be elected as a Cluster Head. The Cluster Head only send the information for a particular zone. Energy consumption will be reduced as the cluster head only sends the information to the base station, instead of every nodes in the zone. The localization algorithm based on Received Signal Strength Indicator (RSSI) and multi hop routing is performed to reduce end-to-end delay in the network. The simulated results show that the proposed algorithm gathers large amount of data with low energy consumption than the existing algorithm.

Publisher

American Scientific Publishers

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Rfid Based Automatic Car Parking System Using Iot;2023 9th International Conference on Electrical Energy Systems (ICEES);2023-03-23

2. A Novel Harvesting and Data Collection Using UAV with Beamforming in Heterogeneous Wireless Sensor-Clustered Networks;Intelligent Control, Robotics, and Industrial Automation;2023

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3