Authors: Adam Raja Basha; Ganesan Sivakumar
Addresses: Department of Information Technology, Sri Venkateswara College of Engineering (Autonomous), Pennalur, Sri Perumbudur, 602117, India; Department of Electrical and Computer Engineering, Ambo University, Ambo, Ethiopia ' Department of Information Technology, Sri Venkateswara College of Engineering (Autonomous), Pennalur, Sri Perumbudur, 602117, India; Department of Electrical and Computer Engineering, Ambo University, Ambo, Ethiopia
Abstract: Wireless sensor networks (WSNs) have been regarded as an emerging and promising field in several applications like facility, health, environmental monitoring, military survival lance and target tracking. Due to their unique characteristics such networks suitable for those real-time applications, such as ease deployment, handling and self-organisation. The technical challenges in terms of energy and delay are need to address here and data aggregation is basic solution to solve those problems by forward useful data's to destination. However, the data and connection loss occurs in the data forwarding, here we propose energy and delay aware optimal data aggregation (EDODA). We make three main contributions in EDODA method: firstly, we propose a new clustering technique using an improved swarm optimisation (ISO) algorithm to make balanced clusters, which minimise the energy consumption. Secondly, the modified multi-fruit fly optimisation algorithm (MFOA) is used to determine aggregated nodes (AN). Thirdly, we introduce a new searching method using fish-food search (FFS) algorithm based on the destination functional characteristics, which provides routing between source-destination. The results show that the improvement of proposed EDODA method in terms of delay, energy and network lifetime.
Keywords: wireless sensor network; WSN; optimal partial aggregation; OPA; multi-fruit fly optimisation algorithm; MFOA; clustering; searching method; SM; time on task; ToT; fish-food searching algorithm; FFS; aggregation nodes.
International Journal of Business Information Systems, 2020 Vol.33 No.3, pp.299 - 319
Received: 31 May 2017
Accepted: 23 Mar 2018
Published online: 16 Mar 2020 *