Title: Ultra-scalable ensemble clustering with simulated annealing based coot bird routing protocol for WSN

Authors: Robin Abraham; M. Vadivel

Addresses: Faculty of Electronics and Engineering, Sathyabama Institute of Science and Technology, Chennai, India ' ECE Department, Vidya Jyothi Institute of Technology, Aziz Nagar, Chilkur Balaji Road, Hyderabad, Telangana-500 075, India

Abstract: Energy proficiency is the main restriction in wireless sensor network (WSN) that affects the network life cycle. Therefore, opposition learning-based flamingo search algorithm is utilised to select the cluster head (CH) of ultra-scalable ensemble clustering. The distance to neighbours, residual energy, and distance to BS are used to optimise the CH selection. The main goal of this paper is to propose a novel energy efficient cluster-based routing protocol to improve the WSN lifespan and minimise power consumption. The experimental results are analysed for the proposed and existing algorithms in terms of a live nodes, end-to-end delay, throughput, rounds for half nodes die, last node die, and first node die, and packet delivery (PDR). The experimental results show that the proposed approach can perform better than existing protocol. The obtained PDR is 85% in the first scenario, which is greater than what exists already.

Keywords: wireless sensor network; WSN; ultra-scalable ensemble clustering; simulated annealing; SA; based coot bird meta-heuristic optimisation; and opposition based learning; OBL based flamingo search algorithm; FSA.

DOI: 10.1504/IJCNDS.2024.140677

International Journal of Communication Networks and Distributed Systems, 2024 Vol.30 No.5, pp.523 - 549

Received: 29 Mar 2023
Accepted: 13 Jun 2023
Published online: 30 Aug 2024 *

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