Bimonthly    Since 1986
ISSN 1004-9037
Publication Details
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
 
   
      05 July 2023, Volume 38 Issue 3
    Article

    AN EFFICIENT FRAMEWORK FOR THE ENERGY CONSUMPTION REDUCTION OVER WIRELESS SENSOR NETWORKS
    Aijaz Ahamed Sharief1, V. K. Sharma2
    Journal of Data Acquisition and Processing, 2023, 38 (3): 6312-6321 . 

    Abstract

    Low power sensors that are dispersed across remote locations are mainly deployed in Wireless Sensor Networks (WSNs). Clusters of sensors are arranged, where each cluster identifies a crucial node called a cluster head (CH). To communicate the sensed data to a base station, each CH gathers it from its sensor nodes (BS). Sensors with non-replaceable batteries have been deployed. For WSN, energy use is a significant concern. This work presents an efficient framework that reduces the energy consumption over WSNs to lower energy consumption and prolong network lifetime. The energy loss can be reduced over the network connections has been achieved by enhancing the energy balance over all the clusters at each sensor nodes. The cluster head selection is an important phase of the network deployment where additional TDMA is also attached to the cluster head. The existing LEACH is compared with the proposed protocol and shown an improvement of proposed protocol with respect to the network-lifetime, energy consumption, how many more nodes are linked to the base station. Results from MATLAB 2015a simulations and mathematical analysis demonstrate the viability of the suggested strategy. Compared to LEACH, WSN has a 73% longer network life cycle and a 60 percent lower energy consumption.

    Keyword

    Deployment-Region, MS-Mobile Sink, Cluster Head, Wireless Sensor Networks


    PDF Download (click here)

SCImago Journal & Country Rank

ISSN 1004-9037

         

Home
Editorial Board
Author Guidelines
Subscription
Journal of Data Acquisition and Processing
Institute of Computing Technology, Chinese Academy of Sciences
P.O. Box 2704, Beijing 100190 P.R. China
E-mail: info@sjcjycl.cn
 
  Copyright ©2015 JCST, All Rights Reserved
.