Title: Cluster-based energy-aware routing scheme (CBEARS) for wireless sensor network

Authors: Ayan Kumar Das; Rituparna Chaki; Kashi Nath Dey

Addresses: Department of Information Technology, Calcutta Institute of Engineering and Management, 8/8 Netaji Nagar, P.O. Regent Park, Kolkata 700092, India ' A.K. Choudhury School of Information Technology, University of Calcutta, JD-3, JD Block, Sector III, Kolkata 700098, India ' Department of Computer Science and Engineering, University of Calcutta, JD-3, JD Block, Sector III, Kolkata 700098, India Kolkata, India

Abstract: The use of sensors to sense a multitude of events forms the basis of the all-pervasive computing concepts of today. The challenge lies in transferring the information sensed over the wireless links with limited bandwidth. The sensors are normally deployed close to each other and hence end up sensing the same event and sending the information. This gives rise to considerable redundancy and energy wastage of individual nodes. Clusterisation is the common technique for reducing the load of the nodes in order to increase the overall lifetime of the network. The selection of cluster head is very important in this regard. This paper uses a multitude of different parameters such as residual energy, distance from sink node, number of neighbour nodes etc., for selecting a cluster head. A multi-level energy-aware routing framework has been proposed here. The simulation result shows that the proposed algorithm increases network lifetime more than the other existing routing protocols.

Keywords: WSNs; wireless sensor networks; cluster head selection; inverse square law; network lifetime; energy efficiency; clustering; energy-aware routing; energy awareness; residual energy; sink nodes; neighbour nodes; simulation; routing protocols.

DOI: 10.1504/IJSNET.2016.079176

International Journal of Sensor Networks, 2016 Vol.21 No.4, pp.262 - 272

Received: 25 Aug 2014
Accepted: 13 Feb 2015

Published online: 20 Sep 2016 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article