FARELI: A FAst and RELIable Routing Path for Cognitive Radio Sensor Networks This paper proposes a fast and reliable routing protocol (FaReli) for multichannel, multihop cognitive wireless sensor networks (CRSNs). Being aware of the spectrum dynamics in the CRSN, a framework is proposed to estimate the remaining duration of spectrum availability which is based on the expected idle length of channels, sensing period, and communication history on the channel. Specially, in combination with the per hop delay analysis, the routing path from sources to the sink can be established such as it provides a shorter delay and reliable communication. Simulation results are conducted to demonstrate that the proposed routing algorithm based on spectrum and delay analysis potentially improve the network performances in terms of throughput, delay.

An Adjustable Channel Hopping Algorithm for MultiRadio Cognitive Radio Networks Abstract   In cognitive radio networks, achieving rendezvous for two nodes (switching to the same channel at the same time) is a premise for them to communicate. Applying a channel hopping protocol is a common solution to achieve rendezvous. Most existing channel hopping protocols work in a singleradio environment and use available channels evenly without considering the timevarying channel conditions for different channels. Such channel hopping protocols may suffer from poor performance due to inefficient channel allocation. To efficiently solve the rendezvous problem, we propose the Adjustable Multiradio Channel Hopping (AMCH) protocol in this paper. Instead of using available channels evenly, nodes running AMCH are able to adjust the usage ratio of each available channel. Simulation results verify that such a ratio adjustable channel hopping mechanism provides an efficient way to solve the rendezvous problem.