Cognitive radio policy-based adaptive blind rendezvous protocols for disaster response

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Date
2018-02-17
Authors
Ghafoor, Saim
Sreenan, Cormac J.
Brown, Kenneth N.
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Springer
Published Version
10.1007/978-3-319-76207-4_8
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Abstract
In disaster scenarios, with damaged network infrastructure, cognitive radio (CR) can be used to provide temporary network access in the first few hours. Since spectrum occupancy will be unknown, the radios must rely on spectrum sensing and opportunistic access. An initial goal is to establish rendezvous between CR nodes to set up the network. The unknown primary radio (PR) activity and CR node topology makes this a challenging task. Existing blind rendezvous strategies provide guarantees on time to rendezvous, but assume channels with no PR activity and no external interferers. To handle this problem of blind multi-node rendezvous in the presence of primary users, we propose an Extended Modular Clock Algorithm which abandons the guarantee on time to rendezvous, an information exchange mechanism for the multi-node problem, and various cognitive radio operating policies. We show that the adapted protocols can achieve up to 80% improvement in the expected time to rendezvous and reduce the harmful interference caused to the primary radio.
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Keywords
Adaptive radio , Blind rendezvous , Cognitive radio network , Cognitive radio operating policy , Disaster response network , Primary radio activity
Citation
Ghafoor, S., Sreenan, C.J., Brown, K.N. (2018) ‘Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response’, In: Marques, P., Radwan, A., Mumtaz, S., Noguet, D., Rodriguez, J. and Gundlach, M. (eds) Cognitive Radio Oriented Wireless Networks, CrownCom 2017, Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 228, pp. 88-99. doi: 10.1007/978-3-319-76207-4_8
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https://hdl.handle.net/10468/13030
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Computer Science - Conference Items
Insight Centre for Data Analytics - Conference Items
Copyright
© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. This version of the article has been accepted for publication, after peer review and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/978-3-319-76207-4_8