Research Article
Channel Switching Cost-Aware Resource Allocation for Multi-hop Cognitive Radio Networks with a Single Transceiver
@INPROCEEDINGS{10.1007/978-3-319-13329-4_14, author={Mustafa \`{E}amurli and Didem G\o{}z\'{y}pek}, title={Channel Switching Cost-Aware Resource Allocation for Multi-hop Cognitive Radio Networks with a Single Transceiver}, proceedings={Ad Hoc Networks. 6th International ICST Conference, ADHOCNETS 2014, Rhodes, Greece, August 18-19, 2014, Revised Selected Papers}, proceedings_a={ADHOCNETS}, year={2014}, month={11}, keywords={Cognitive radio Ad-hoc networks Energy efficiency Channel switching Frequency switching Resource allocation}, doi={10.1007/978-3-319-13329-4_14} }- Mustafa Çamurli
Didem Gözüpek
Year: 2014
Channel Switching Cost-Aware Resource Allocation for Multi-hop Cognitive Radio Networks with a Single Transceiver
ADHOCNETS
Springer
DOI: 10.1007/978-3-319-13329-4_14
Abstract
Cognitive radio networks need to operate in a wide range of frequencies. This requirement brings up new challenges that do not exist in other wireless networks. Switching from a certain frequency to another frequency incurs a non-negligible cost in cognitive radio networks and depends on the wideness between the previous and current frequencies. This cost is especially important in ad hoc cognitive radio networks when the cognitive devices have a single transceiver. Research studies related to green networks indicate the need for methods that address energy consumption in cognitive radio networks. In this paper, we analyze the impact of the channel switching cost in terms of energy consumption. We formulate an optimization problem that makes frequency and time slot allocation to the cognitive devices in an ad hoc cognitive radio network so that the energy cost related to frequency switching is minimized. We formulate our optimization problem as an integer linear program and comparatively evaluate the energy cost of varying switching energy consumption with constant switching energy consumption. Our simulation results indicate that taking into account the different energy consumption while switching to different frequency bands is vital for resource allocation in cognitive radio networks with a single transceiver.