Authors: Xingwei Wang; Hui Cheng; Min Huang
Addresses: College of Information Science and Engineering, Northeastern University, Shenyang 110819, China ' School of Computing & Mathematical Sciences, Liverpool John Moores University, Liverpool, L3 3AF, UK ' Department of Systems Engineering, Northeastern University, Shenyang 110819, China
Abstract: The human interventions in the network should be reduced as much as possible to alleviate the network complexity. Through mimicking the cognitive behaviours of human brains, the cognitive network concept is proposed to improve the scalability, self-adaptation, self-organisation, and self-protection of the network. In this paper, based on the cognitive science model, we design the cognitive behaviours for the network nodes to benefit the quality-of-service (QoS) routing and rerouting optimisation. We propose a QoS routing protocol oriented to cognitive network, named as CogRT which addresses the rerouting issue as well. CogRT is a distributed hop-by-hop routing protocol. Inspired by the small-world phenomenon, the experiential route information is collected and stored at each node to benefit the future route selection. We implement and evaluate CogRT in NS2 platform. The results show that CogRT has achieved remarkable performance improvements over the protocols where no cognitive behaviours are exploited.
Keywords: cognitive networks; reference model of the brain; QoS routing; quality of service; rerouting optimisation; cognitive behaviour; distributed routing protocols; hop-by-hop routing protocols.
International Journal of Computer Applications in Technology, 2014 Vol.49 No.3/4, pp.282 - 296
Received: 08 May 2021
Accepted: 12 May 2021
Published online: 05 Jun 2014 *