Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response

Saim Ghafoor; Cormac J. Sreenan; Kenneth N. Brown

doi:10.1007/978-3-319-76207-4_8

Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response

Saim Ghafoor, Cormac J. Sreenan, Kenneth N. Brown

University College Cork

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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.

Original language	English
Title of host publication	Cognitive Radio Oriented Wireless Networks - 12th International Conference, CROWNCOM 2017, Proceedings
Editors	Paulo Marques, Ayman Radwan, Shahid Mumtaz, Jonathan Rodriguez, Michael Gundlach, Dominique Noguet
Publisher	Springer Verlag
Pages	88-99
Number of pages	12
ISBN (Print)	9783319762067
DOIs	https://doi.org/10.1007/978-3-319-76207-4_8
Publication status	Published - 2018
Externally published	Yes
Event	12th EAI International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2017 - Lisbon, Portugal Duration: 20 Sep 2017 → 21 Sep 2017

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	228
ISSN (Print)	1867-8211

Conference

Conference	12th EAI International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2017
Country/Territory	Portugal
City	Lisbon
Period	20/09/17 → 21/09/17

Keywords

Adaptive radio
Blind rendezvous
Cognitive radio network
Cognitive radio operating policy
Disaster response network
Primary radio activity

Access to Document

10.1007/978-3-319-76207-4_8

Cite this

Ghafoor, S., Sreenan, C. J., & Brown, K. N. (2018). Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response. In P. Marques, A. Radwan, S. Mumtaz, J. Rodriguez, M. Gundlach, & D. Noguet (Eds.), Cognitive Radio Oriented Wireless Networks - 12th International Conference, CROWNCOM 2017, Proceedings (pp. 88-99). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 228). Springer Verlag. https://doi.org/10.1007/978-3-319-76207-4_8

Ghafoor, Saim ; Sreenan, Cormac J. ; Brown, Kenneth N. / Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response. Cognitive Radio Oriented Wireless Networks - 12th International Conference, CROWNCOM 2017, Proceedings. editor / Paulo Marques ; Ayman Radwan ; Shahid Mumtaz ; Jonathan Rodriguez ; Michael Gundlach ; Dominique Noguet. Springer Verlag, 2018. pp. 88-99 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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title = "Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response",

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.",

keywords = "Adaptive radio, Blind rendezvous, Cognitive radio network, Cognitive radio operating policy, Disaster response network, Primary radio activity",

author = "Saim Ghafoor and Sreenan, {Cormac J.} and Brown, {Kenneth N.}",

note = "Publisher Copyright: {\textcopyright} 2018, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 12th EAI International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2017 ; Conference date: 20-09-2017 Through 21-09-2017",

year = "2018",

doi = "10.1007/978-3-319-76207-4_8",

language = "English",

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series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

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Ghafoor, S, Sreenan, CJ & Brown, KN 2018, Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response. in P Marques, A Radwan, S Mumtaz, J Rodriguez, M Gundlach & D Noguet (eds), Cognitive Radio Oriented Wireless Networks - 12th International Conference, CROWNCOM 2017, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 228, Springer Verlag, pp. 88-99, 12th EAI International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2017, Lisbon, Portugal, 20/09/17. https://doi.org/10.1007/978-3-319-76207-4_8

Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response. / Ghafoor, Saim; Sreenan, Cormac J.; Brown, Kenneth N.
Cognitive Radio Oriented Wireless Networks - 12th International Conference, CROWNCOM 2017, Proceedings. ed. / Paulo Marques; Ayman Radwan; Shahid Mumtaz; Jonathan Rodriguez; Michael Gundlach; Dominique Noguet. Springer Verlag, 2018. p. 88-99 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 228).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response

AU - Ghafoor, Saim

AU - Sreenan, Cormac J.

AU - Brown, Kenneth N.

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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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KW - Cognitive radio operating policy

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KW - Primary radio activity

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M3 - Conference contribution

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T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

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A2 - Mumtaz, Shahid

A2 - Rodriguez, Jonathan

A2 - Gundlach, Michael

A2 - Noguet, Dominique

PB - Springer Verlag

T2 - 12th EAI International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2017

Y2 - 20 September 2017 through 21 September 2017

ER -

Ghafoor S, Sreenan CJ, Brown KN. Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response. In Marques P, Radwan A, Mumtaz S, Rodriguez J, Gundlach M, Noguet D, editors, Cognitive Radio Oriented Wireless Networks - 12th International Conference, CROWNCOM 2017, Proceedings. Springer Verlag. 2018. p. 88-99. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-319-76207-4_8

Cognitive Radio Policy-Based Adaptive Blind Rendezvous Protocols for Disaster Response

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