NDLI: Energy efficient geographical and power based clustering algorithm for heterogeneous wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Jahan, M.S. Sali, A. Azarbad, B. Usaha, W. Rasid, M.F.A. Ali, B.M.
Copyright Year	2011
Description	Author affiliation: Department of Computer & communication Systems, Faculty of Engineering, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia (Jahan, M.S.; Sali, A.; Azarbad, B.; Rasid, M.F.A.; Ali, B.M.) \|\| School of Telecommunication Engineering, Institute of Engineering, Suranaree University of Technology, 111 University, Avenue, Muang District, Nakhon Ratchasima 30000, Thailand (Usaha, W.)
Abstract	Wireless Sensor Network (WSN) has gained tremendous research attention recently due to their extensive applications. As sensor nodes being battery operated, many researchers have made attempts to prolong the lifespan of the WSN by reducing the-per node energy consumption and efficiently utilizing the sensor nodes. However, in the tradition WSNs, nodes were homogeneous and hence could not take full advantage of the presence of heterogeneity in the network. To solve this problem in this paper, we propose Geographical and power based clustering algorithm (GPCA): a heterogeneous-aware clustering protocol, which has significant impact on the entire energy dissipation of WSNs. In GPCA, a Virtual Header (VH) transfers data to the nearest VH, and the nearest VH forwards the data to sink node. In this way, the energy dissipation of the entire network is reduced because of the transmitting distance between VHs and the sink that is greatly shortened. Also, a large number of nodes are self-organized by a distributed cluster formation technique. Moreover, a randomized technique is used to rotate the local cluster-heads base on power label in order to evenly distribute the energy load among the sensors in the network. GPCA uses geographical position to enable scalability and robustness for dynamic networks. By using simulation, the proposed GPCA scheme shows superior performance over the current energy-efficient schemes in terms of network lifespan, Energy dissipation and number of alive nodes.
Starting Page	826
Ending Page	831
File Size	229075
Page Count	6
File Format	PDF
ISBN	9781457703898
e-ISBN	9781457703904
DOI	10.1109/APCC.2011.6152922
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-02
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Clustering algorithms Protocols Energy dissipation Algorithm design and analysis Energy efficiency Energy consumption Game theory WSN MAC energy efficiency of WSN GT DSA MAC
Content Type	Text
Resource Type	Article

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