A Dual Modular Clock Algorithm for Cognitive Radio-based Emergency Response Network

Natural and human induced calamities can cause loss of lives and service disruption which requires immediate response setup for first responders and victims. In the aftermath of a disaster first 48 hours are crucial to provide temporary response network for responders to coordinate and conduct search and rescue operation in case of fully or partially destroyed telecommunication infrastructure until more stable help arrives. However, the problem remains the little or no information about the environment in which initial setup needs to operate. A cognitive radio in this regard has a potential to establish initial link in an unknown environment to provide rapid deployment with efficient spectrum usage. A rendezvous protocol can be used to establish initial link, but unpredictable and unknown environment can increase the rendezvous time due to the existence of Primary Radio (PR) activity. The existing protocols have limitations of index based channel selection, inefficient use of spectrum, time slot duration, hopping rate and rendezvous cycle. This paper proposes a dual modular clock-based rendezvous algorithm (DMCA), which takes advantage of prime and non-prime channel numbers to enhance spectrum utilization and incurs less rendezvous time. In the worst-case scenario of asymmetric, which involves only two similar channels (m = 2) with high PR activity, our DMCA protocol achieves 69%, 44%, and 21% less rendezvous time compare to traditional protocols proposed for unknown environments.

Authors

Institutions

Publication Details

Published
2025-01-10
DOI
https://doi.org/10.1109/ccnc54725.2025.10976100
Primary Topic
Cognitive Radio Networks and Spectrum Sensing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Dual Modular Clock Algorithm for Cognitive Radio-based Emergency Response Network

Ian McLoughlin, Saritha Unnikrishnan, Zahid Ali, Saim Ghafoor et al.
Cognitive Radio Networks and Spectrum Sensing
article

A Dual Modular Clock Algorithm for Cognitive Radio-based Emergency Response Network

Ian McLoughlin, Saritha Unnikrishnan, Zahid Ali, Saim Ghafoor, Eoghan Furey
article en

Abstract

Natural and human induced calamities can cause loss of lives and service disruption which requires immediate response setup for first responders and victims. In the aftermath of a disaster first 48 hours are crucial to provide temporary response network for responders to coordinate and conduct search and rescue operation in case of fully or partially destroyed telecommunication infrastructure until more stable help arrives. However, the problem remains the little or no information about the environment in which initial setup needs to operate. A cognitive radio in this regard has a potential to establish initial link in an unknown environment to provide rapid deployment with efficient spectrum usage. A rendezvous protocol can be used to establish initial link, but unpredictable and unknown environment can increase the rendezvous time due to the existence of Primary Radio (PR) activity. The existing protocols have limitations of index based channel selection, inefficient use of spectrum, time slot duration, hopping rate and rendezvous cycle. This paper proposes a dual modular clock-based rendezvous algorithm (DMCA), which takes advantage of prime and non-prime channel numbers to enhance spectrum utilization and incurs less rendezvous time. In the worst-case scenario of asymmetric, which involves only two similar channels (m = 2) with high PR activity, our DMCA protocol achieves 69%, 44%, and 21% less rendezvous time compare to traditional protocols proposed for unknown environments.

Technological University Dublin (IE), Atlantic Technological University (IE), Institute of Technology Sligo (IE)
Openalex Percentile: Top 91%
Cognitive Radio Networks and Spectrum Sensing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Dual Modular Clock Algorithm for Cognitive Radio-based Emergency Response Network — Ian McLoughlin, Saritha Unnikrishnan, et al. · (2025) | TGRS Research Map | TGRS