Dynamic Channel Access to Improve Energy Efficiency in Cognitive Radio Sensor Networks
Top Cited Papers
- 13 January 2016
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Wireless Communications
- Vol. 15 (5), 3143-3156
- https://doi.org/10.1109/twc.2016.2517618
Abstract
Wireless sensor networks operating in the license-free spectrum suffer from uncontrolled interference as those spectrum bands become increasingly crowded. The emerging cognitive radio sensor networks (CRSNs) provide a promising solution to address this challenge by enabling sensor nodes to opportunistically access licensed channels. However, since sensor nodes have to consume considerable energy to support CR functionalities, such as channel sensing and switching, the opportunistic channel accessing should be carefully devised for improving the energy efficiency in CRSN. To this end, we investigate the dynamic channel accessing problem to improve the energy efficiency for a clustered CRSN. Under the primary users' protection requirement, we study the resource allocation issues to maximize the energy efficiency of utilizing a licensed channel for intra-cluster and inter-cluster data transmission, respectively. Moreover, with the consideration of the energy consumption in channel sensing and switching, we further determine the condition when sensor nodes should sense and switch to a licensed channel for improving the energy efficiency, according to the packet loss rate of the license-free channel. In addition, two dynamic channel accessing schemes are proposed to identify the channel sensing and switching sequences for intra-cluster and inter-cluster data transmission, respectively. Extensive simulation results demonstrate that the proposed channel accessing schemes can significantly reduce the energy consumption in CRSNs.Funding Information
- International Science and Technology cooperation program of China (2013DFB10070)
- China Hunan Provincial Science and Technology Program (2012GK4106)
- National Natural Science Foundation of China (61272149)
- NSERC, Canada
This publication has 32 references indexed in Scilit:
- Cognitive Adaptive Medium Access Control in Cognitive Radio Sensor NetworksIEEE Transactions on Vehicular Technology, 2014
- Performance analysis of CSMA-based opportunistic medium access protocol in cognitive radio sensor networksAd Hoc Networks, 2014
- Scalable Dynamic Routing Protocol for Cognitive Radio Sensor NetworksIEEE Sensors Journal, 2014
- Data-driven link quality prediction using link featuresACM Transactions on Sensor Networks, 2014
- Throughput-Aware Routing for Industrial Sensor Networks: Application to ISA100.11aIEEE Transactions on Industrial Informatics, 2013
- Radio link quality estimation in wireless sensor networksACM Transactions on Sensor Networks, 2012
- Cognitive Radio with Imperfect Spectrum Sensing: The Optimal Set of Channels to SenseIEEE Wireless Communications Letters, 2012
- Energy-Efficient Channel Management Scheme for Cognitive Radio Sensor NetworksIEEE Transactions on Vehicular Technology, 2011
- Energy-constrained modulation optimizationIEEE Transactions on Wireless Communications, 2005
- Block-relaxation Algorithms in StatisticsPublished by Springer Science and Business Media LLC ,1994