Efficient Cluster Head Selection and Connected Target Coverage Strategies for Real Time Requirements

Authors(3) :-G. Mohan Ram, T. Kesava, K. Bhadrachalam

Clustering is one of the most efficient techniques for saving energy of wireless sensor networks (WSNs). However, in a hierarchical cluster based WSN, cluster heads (CHs) consume more energy due to extra overload for receiving and aggregating the data from their member sensor nodes and transmitting the aggregated data to the base station. Proper selection of CHs plays major role to conserve the energy of sensor nodes to increase the lifetime of WSNs. Coverage and connectivity must also be addressed to fulfil reliability and real- time requirements. In this paper, we propose an energy efficient cluster head selection algorithm and also analyze characteristics of energy-efficient coverage strategies. In the proposed approach, we consider various parameters such as sink distance and intra-cluster distance of sensor nodes for energy-efficiency. The results are compared with some existing algorithms to demonstrate the superiority of the proposed algorithm.

Authors and Affiliations

G. Mohan Ram
Assistant Professor, Department of CSE, Shri Vishnu Engineering College for Women (A) , Bhimavaram, Andhra Pradesh, India
T. Kesava
Assistant Professor, Department of CSE, Shri Vishnu Engineering College for Women (A) , Bhimavaram, Andhra Pradesh, India
K. Bhadrachalam
Assistant Professor, Department of CSE, Shri Vishnu Engineering College for Women (A) , Bhimavaram, Andhra Pradesh, India

Cluster heads (CH), WSN

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Publication Details

Published in : Volume 3 | Issue 3 | March-April 2018
Date of Publication : 2018-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 911-920
Manuscript Number : CSEIT1833271
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

G. Mohan Ram, T. Kesava, K. Bhadrachalam, "Efficient Cluster Head Selection and Connected Target Coverage Strategies for Real Time Requirements", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 3, Issue 3, pp.911-920, March-April-2018.
Journal URL : http://ijsrcseit.com/CSEIT1833271

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