Dynamic Channel Access for Energy Efficient Data Gathering in Cognitive Radio Sensor Networks
Ju Ren, Yaoxue Zhang, Ning Zhang, Deyu Zhang, Xuemin (Sherman) Shen

TL;DR
This paper proposes dynamic channel access schemes for cognitive radio sensor networks to enhance energy efficiency by optimizing sensing, switching, and resource allocation under primary user protection constraints.
Contribution
It introduces novel schemes for dynamic channel sensing and switching that consider energy costs and primary user protection, improving energy efficiency in CRSNs.
Findings
Significant reduction in energy consumption with proposed schemes
Effective resource allocation for intra- and inter-cluster transmission
Enhanced energy efficiency under primary user protection constraints
Abstract
Wireless sensor networks (WSNs) 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…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Distributed Sensor Networks and Detection Algorithms · Wireless Communication Security Techniques
