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10th EAI International Conference on Communications and Networking in China

Research Article

Energy Efficient Spectrum Aware Clustering for Cognitive Sensor Networks: CogLEACH-C

Cite
BibTeX Plain Text
  • @INPROCEEDINGS{10.4108/eai.15-8-2015.2260534,
        author={Akrem Latiwesh and Dongyu Qiu},
        title={Energy Efficient Spectrum Aware Clustering for Cognitive Sensor Networks: CogLEACH-C},
        proceedings={10th EAI International Conference on Communications and Networking in China},
        publisher={IEEE},
        proceedings_a={CHINACOM},
        year={2015},
        month={9},
        keywords={cognitive sensor networks clustering},
        doi={10.4108/eai.15-8-2015.2260534}
    }
    
  • Akrem Latiwesh
    Dongyu Qiu
    Year: 2015
    Energy Efficient Spectrum Aware Clustering for Cognitive Sensor Networks: CogLEACH-C
    CHINACOM
    IEEE
    DOI: 10.4108/eai.15-8-2015.2260534
Akrem Latiwesh1, Dongyu Qiu1,*
  • 1: Concordia University
*Contact email: dongyu@ece.concordia.ca

Abstract

Combining Cognitive radio technology with wireless sensor networks has been introduced in the literature as a solution to the spectrum deficiency problem. Many clustering algorithms have been proposed for wireless sensor networks. However, most of them are not suitable for cognitive sensor networks as they operate on a fixed channel settings. In this work, we propose a low energy spectrum aware clustering algorithm, CogLEACH-C, based on CogLEACH algorithm in order to improve the performance in terms of system lifetime. CogLEACH-C uses not only the number of channels sensed idle by the node but also the node energy level in determining the probability for each node to be a cluster head. Hence, allows the base station to select K cluster heads that are in an optimal position for the nodes in the network.

Keywords
cognitive sensor networks clustering
Published
2015-09-21
Publisher
IEEE
http://dx.doi.org/10.4108/eai.15-8-2015.2260534
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