Link Prediction-based Adaptive Routing for Cognitive Radio Mobile Ad-hoc Networks

Cognitive Radio (CR) is a promising technology which deals with using vacant spectrum of licensed frequency band opportunistically. In CR Network, route construction must not affect the transmission of Primary User activity. In CR technology challenge of maintaining optimal routes arises due to PU activity and mobility of spectrum resources i.e. CR users. Maintaining optimal routes in Ad-hoc CR network increases the overall network throughput and decreases end-to-end delay. This end-to-end network performance can be increased by providing cognition capability to routing in Cognitive Radio Mobile Ad-Hoc Network. We propose routing scheme with link-availability prediction and topology control. Link-availability prediction considers primary user activities and user mobility. Topology control constructs dynamic and reliable topology based on link prediction. This routing scheme reduces energy consumption, rerouting and thus enhances overall network performance and ensures least delay. Index Terms Cognitive Radio Network (CRN), Cognition Capability, Link Prediction, Topology Control This work is supported and sponsored by research promotion scheme of AICTE, New Delhi under grant Ref. No.: 20 / AICTE / RIFD / RPS (POLICY-III) 78 / 2013 14 (Dated: July 29, 2013).