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.
International Journal of Wireless and Mobile Computing, 2015 Vol.9 No.4, pp.355 - 362
Received: 08 May 2015
Accepted: 13 Jul 2015
Published online: 02 Jan 2016 *