Research Area:  Wireless Sensor Networks

Abstract:

In the growing world of technology, use of WSN is increasing at an exponential rate in many real time applications such as security, monitoring, tracking, management, learning etc. The most critical challenge in networks is energy consumption; any method used has to be energy efficient. One of the most used approach for reducing the energy consumption and improvement of performance is clustering. In this paper, clustering based new routing algorithm for WSNs using Bio-inspired energy efficient clustering protocol (BeeCup) has been implemented. IBeeCup method has been proposed which is an extension of BeeCup method that finds shortest path. The location information is determined by RSSI. This approach takes an advantage of biologically inspired computation which improves the performance of network.

Keywords:  
Wireless sensor networks
Clustering
BeeCup optimization
Biologically-inspired computation
Energy efficiency
Time until first node dies
Cluster head residual energy
Control overhead

Author(s) Name:  Shankar Dattatray Chavan & Anju VijayKumar Kulkarni

Publisher name:  Springer

DOI:  10.1007/s11277-019-06658-7

Volume Information:  volume 109, pages 1897–1910 (2019)

Paper Link:   https://link.springer.com/article/10.1007/s11277-019-06658-7