Conclusion

Abstract

AbstractIn this book, the broadcast issue in CR ad hoc networks is investigated. Two broadcast protocols have been proposed to achieve very high successful broadcast ratio and short average broadcast delay. First of all, a QoS-based broadcast protocol named \(\mathrm{QB^2IC}\) is proposed under practical scenarios. Moreover, a fully-distributed broadcast protocol named BRACER is proposed without the existence of a global or local common control channel. By intelligently downsizing the original available channel set and designing the broadcasting sequences and broadcast scheduling schemes, our proposed broadcast protocol can provide very high successful broadcast ratio while achieving very short broadcast delay. In addition, it can also avoid broadcast collisions. Simulation results show that our proposed protocols outperform other possible broadcast schemes in terms of higher successful broadcast ratio and shorter average broadcast delay. Finally, the performance analysis of broadcast protocols for CR ad hoc networks is studied. A novel unified analytical model is proposed to address these challenges and analyze the broadcast protocols in CR ad hoc networks with any topology. Specifically, two algorithms are proposed to calculate the successful broadcast ratio and the average broadcast delay of a broadcast protocol. In addition, the derivation methods of the single-hop performance metrics for three different broadcast protocols in CR ad hoc networks under practical scenarios are proposed. Results from both the hardware implementation and software simulation validate the analysis well. Due to the importance of broadcast operations in wireless networks, the research findings in this book will have a significant impact in future cognitive radio network designs.KeywordsBroadcast ProtocolBroadcast Scheduling SchemeBroadcast DelayBroadcasting SequencesBroadcast IssueThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.