Title: Trust aware nature inspired optimised routing in clustered wireless sensor networks

Authors: Edwin Prem Kumar Gilbert; K. Baskaran; Elijah Blessing Rajsingh; M. Lydia; A. Immanuel Selvakumar

Addresses: Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India ' Department of Electronics and Instrumentation Engineering, Government College of Technology, Coimbatore, Tamil Nadu, India ' Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India ' Department of Electrical and Electronics Engineering, Karunya Institute of Technology and Sciences, Coimbatore, Tamil Nadu, India

Abstract: Wireless sensor networks (WSN) consist of sensor nodes which have capabilities of sensing, computation and communication. Routing algorithms are required in a WSN when a node is unable to send a data to the base station directly. In this paper, a trust aware optimised compressed sensing-based data aggregation and routing algorithm has been proposed for clustered WSN. Compressed sensing is used for data aggregation from sensor nodes with reduced overhead. Nature inspired optimisation has been implemented to obtain trade-off between transmission distance, hop-count, number of transmitted message and most trusted path using artificial bee colony algorithm, ant colony optimisation, differential evolution, firefly algorithm and particle swarm optimisation. Trust-based reconstruction of the compressed data is done at the base station in the presence of malicious nodes.

Keywords: artificial bee colony algorithm; ant colony optimisation; ACO; differential evolution; firefly algorithm; multi-objective optimisation; particle swarm optimisation; PSO; trust management; wireless sensor networks; WSN; routing.

DOI: 10.1504/IJBIC.2019.101637

International Journal of Bio-Inspired Computation, 2019 Vol.14 No.2, pp.103 - 113

Received: 08 Oct 2017
Accepted: 21 May 2018

Published online: 19 Aug 2019 *

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