A novel solution to routing in Cognitive Radio ad-hoc networks in high primary user traffic environments

Abstract

Cognitive Radio technology holds great promise in solving the problem of spectrum scarcity.A plethora of routing protocols exist for Cognitive Radio networks,however most of them relay on establishing an end-to-end path using a Common Control Channel.This paper focuses on scenarios where the Primary User traffic is very high and erratic and therefore trying to set up end-to-end paths is not feasible.A novel solution to this problem is proposed where the cognitive users form a Cognitive Delay Tolerant Network through a modification in the network stack.Well researched delay tolerant networking routing protocols designed for networks with unreliable links, configured for multiple channel can used for routing in high primary user traffic environments.Through extensive simulation we show the that proposed architecture provides very high delivery ratio (close to 1) in the presence of very high primary user traffic with negligible computational complexity and the absence of a common control channel. We also show that trying to rely on routing protocols that try to establish end to end paths such as Multi-Channel AODV is not feasible. The performance of Multi-Channel AODV and proposed architecture is compared and analyzed with bundle/packet delivery ratio, end-to-end delay and hop count as performance metrics.

Probabilistic and deterministic path selection in cognitive radio network

“…In [16], the authors proposed the Cognitive Ad‐hoc On‐demand Distance Vector Protocol (CAODV) which is modified version of the Ad‐hoc On‐demand Distance Vector Protocol (AODV) [17–21]. CAODV avoids active PU regions during both phases, route formation and packet forwarding.…”