Title: Multi-objective ant colony optimisation-based routing in WSNs

Authors: Ansgar Kellner; Dieter Hogrefe

Addresses: Institute of Computer Science, Goldschmidtstr. 7, 37077, Göttingen, Germany ' Institute of Computer Science, Goldschmidtstr. 7, 37077, Göttingen, Germany

Abstract: Wireless sensor networks (WSNs) are expected to play an important role for sensing applications in the near future. A simple but robust way for the routing in WSNs is the use of multi-objective ant colony optimisation (MOACO) algorithms, biologically-inspired algorithms that are capable of considering multiple objectives in the optimisation process at the same time. In this paper MARFWSN, a multi-objective ant colony optimisation routing framework for WSNs, is proposed that allows to use MOACO algorithms for the routing in WSNs. Due to its modulised structure different MOACO algorithms can be simply docked using the provided interface. Additionally, to mitigate insider attacks, trust is considered as one of the objectives in the route optimisation process.

Keywords: wireless sensor networks; WSNs; multiple-objective ACO; ant colony optimisation; MOACO; routing; trust; bio-inspired computation; biological-inspired computation; MARFWSN; insider attacks; network security.

DOI: 10.1504/IJBIC.2014.065595

International Journal of Bio-Inspired Computation, 2014 Vol.6 No.5, pp.322 - 332

Received: 13 Sep 2013
Accepted: 31 Jan 2014
Published online: 08 Nov 2014 *

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