Title: An optimal RSSI-based cluster-head selection for sensor networks

Authors: Khushboo Jain; Anoop Kumar

Addresses: Department of CSE, Banasthali Vidyapith, Tonk, Rajasthan, India ' Department of CSE, Banasthali Vidyapith, Tonk, Rajasthan, India

Abstract: Wireless sensor networks (WSNs) are becoming a very auspicious key to better address reliability to constant, accurate environmental monitoring. Although energy utilisation is one of the most common challenges, frequent communication between the sensor nodes (SNs) results in a huge energy drain. Moreover, load balancing and optimisation within the WSN are the significant factors for the extensive period of network lifetime. In fact, many such networks are deployed and operating outdoors is exposed to varying environmental conditions, which may further set grounds for severe performance degradation. Therefore, it is necessary to take into consideration factors like radio signal strength index to reduce the impact and to adapt to varying environmental conditions. In this paper, we propose an optimal RSSI CH selection (ORCHS) algorithm that is also based on environmental conditions to achieve energy efficiency and enhanced network lifetime by effectively managing energy levels within the network.

Keywords: cluster head selection; energy efficiency; network lifetime; residual energy; RSSI; wireless sensor networks; WSNs; node death rate; ContikiOS; ORCHS.

DOI: 10.1504/IJAIS.2019.108428

International Journal of Adaptive and Innovative Systems, 2019 Vol.2 No.4, pp.349 - 361

Received: 30 Mar 2019
Accepted: 22 Oct 2019
Published online: 13 Jul 2020 *