• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Energy Efficient Topology Control based on Sociological Cluster in Wireless Sensor Networks


Abstract

The network topology for a wide area sensor network has to support connectivity and a prolonged lifetime for the many applications used within it. The concepts of structure and group in sociology are similar to the concept of cluster in wireless sensor networks. The clustering method is one of the preferred ways to produce a topology for reduced electrical energy consumption. We herein propose a cluster topology method based on sociological structures and concepts. The proposed sociological clustering topology (SOCT) is a method that forms a network in two phases. The first phase, which from a sociological perspective is similar to forming a state within a nation, involves using nodes with large transmission capacity to set up the global area for the cluster. The second phase, which is similar to forming a city inside the state, involves using nodes with small transmission capacity to create regional clusters inside the global cluster to provide connectivity within the network. The experimental results show that the proposed method outperforms other methods in terms of energy efficiency and network lifetime.


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Cite this article

[IEEE Style]
S. Kang, S. Lee, S. Ahn, S. An, "Energy Efficient Topology Control based on Sociological Cluster in Wireless Sensor Networks," KSII Transactions on Internet and Information Systems, vol. 6, no. 1, pp. 341-360, 2012. DOI: 10.3837/tiis.2012.01.019.

[ACM Style]
Sangwook Kang, Sangbin Lee, Saeyoung Ahn, and Sunshin An. 2012. Energy Efficient Topology Control based on Sociological Cluster in Wireless Sensor Networks. KSII Transactions on Internet and Information Systems, 6, 1, (2012), 341-360. DOI: 10.3837/tiis.2012.01.019.

[BibTeX Style]
@article{tiis:20067, title="Energy Efficient Topology Control based on Sociological Cluster in Wireless Sensor Networks", author="Sangwook Kang and Sangbin Lee and Saeyoung Ahn and Sunshin An and ", journal="KSII Transactions on Internet and Information Systems", DOI={10.3837/tiis.2012.01.019}, volume={6}, number={1}, year="2012", month={January}, pages={341-360}}