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PROJECT TITLE :

Dynamic Channel Access to Improve Energy Efficiency in Cognitive Radio Sensor Networks - 2016

ABSTRACT:

Wireless sensor networks operating within the license-free spectrum suffer from uncontrolled interference as those spectrum bands become increasingly crowded. The rising cognitive radio sensor networks (CRSNs) give a promising resolution to deal with this challenge by enabling sensor nodes to opportunistically access licensed channels. However, since sensor nodes should consume considerable energy to support CR functionalities, like channel sensing and switching, the opportunistic channel accessing ought to be rigorously devised for improving the energy efficiency in CRSN. To this end, we tend to investigate the dynamic channel accessing drawback to enhance the energy potency for a clustered CRSN. Underneath the primary users' protection requirement, we have a tendency to study the resource allocation problems to maximise the energy efficiency of utilizing a licensed channel for intra-cluster and inter-cluster knowledge transmission, respectively. Moreover, with the consideration of the energy consumption in channel sensing and switching, we tend to further verify the condition when sensor nodes should sense and switch to a licensed channel for improving the energy potency, in step with the packet loss rate of the license-free channel. Additionally, two dynamic channel accessing schemes are proposed to spot 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 will considerably scale back the energy consumption in CRSNs.


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Resource Allocation Energy Consumption Energy Conservation Telecommunication Power Management Wireless Sensor Networks Wireless Channels Cognitive Radio Data Communication Pattern Clustering
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