A self-organised routing algorithm for cognitive radio-based wireless sensor networks using biologically-inspired method. (2017)

• Record Type: Journal Article
• Authors: Thakare, Amit N.; Bhagat, Latesh; Thomas, Achamma
• Is Part Of: International journal of artificial intelligence and soft computing. Volume 6:Number 2(2017)
• Page Start: 148
• Page End: 169
• Publication Date: 2017
• Subjects: wireless sensor network -- WSN -- LEACH -- cognitive radio sensor network -- CRSN -- bio-inspired methods -- self-organising and fault tolerance -- Markov chain; Artificial intelligence -- Periodicals; Soft computing -- Periodicals; 006.305
• Languages: English
• ISSNs: 1755-4950

Abstract

Wireless sensor networks area collection of a large number of unattended sensor nodes. The sensor nodes are dynamically deployed in the region. In wireless sensor networks, the unlicensed sensor nodes use their temporarily available vacant licensed channels or spectrum band in a telecommunication network. The many open challenges with issues such as adaptive in self-organisation, fault-tolerance and network scalability with cooperative spectrum sensing and sharing are identifying new challenges in wireless sensor networks. In this paper, we proposed the bio-inspired adaptive routing algorithm for cognitive radio wireless sensor networks. The utilisation of the foraging approach of ANTs and BEEs for making the decision of using the available spectrum sensing and sharing of channels over multi-hops communication, provides the method to utilise idle channel and decrease the delay for communication in wireless sensor network. In this paper, we design the algorithm to solve the issue of wireless sensor network and performance of classical routing protocol LEACH and cognitive radio sensor networks (CRSN) evaluates the parameters which proof the self-organisation routing algorithm.