Int. J. of Wireless and Mobile Computing   »   2015 Vol.9, No.4

 

 

Title: Energy-efficient sensor optimisation in wireless sensor networks

 

Authors: Neha Verma; Madhu Nimesh; Rakhi Rani

 

Addresses:
Department of Electronics and Communication, YMCA University of Science and Technology, Faridabad 121006, Haryana, India
Department of Electronics and Communication, Shree Ram College of Engineering & Management, Haryana, India
Department of Electronics and Communication, YMCA University of Science and Technology, Faridabad 121006, Haryana, India

 

Abstract: Wireless Sensor Networks (WSNs) contain small sensor nodes collecting data in various forms helping to analyse the environment in many ways. Energy of the sensor nodes is valuable and scarce; it is vital to reduce energy consumption in order to improve lifetime of WSN. An excellent way to do so is to divide sensor network into groups of cluster and sink nodes, where clusterhead acts as leader of the cluster. For WSNs it is very important to use a method which automatically arranges the sensors in clusters such that minimum energy is used to communicate information from all nodes to the respective base station. As the degree of the correlation in the data increases with the decrease of separation between sensor nodes, these sensors are observed to be highly correlated producing high data redundancy. Combining both methods, we propose in-network compression and optimum clustering to optimise large WSNs.

 

Keywords: energy efficiency; routing technique; optimum clustering; spatial correlation; localisation; data aggregation; sensor optimisation; WSNs; wireless sensor networks; sensor clusters; in-network compression.

 

DOI: 10.1504/IJWMC.2015.074036

 

Int. J. of Wireless and Mobile Computing, 2015 Vol.9, No.4, pp.355 - 362

 

Submission date: 04 May 2015
Date of acceptance: 13 Jul 2015
Available online: 02 Jan 2016

 

 

Editors Full text accessAccess for SubscribersPurchase this articleComment on this article