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Location-based Clustering for Skewed-topology Wireless Sensor Networks
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  • Journal title : Journal of Digital Convergence
  • Volume 14, Issue 1,  2016, pp.171-179
  • Publisher : The Society of Digital Policy and Management
  • DOI : 10.14400/JDC.2016.14.1.171
 Title & Authors
Location-based Clustering for Skewed-topology Wireless Sensor Networks
Choi, Hae-Won; Ryu, Myung-Chun; Kim, Sang-Jin;
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 Abstract
The energy consumption problem in wireless sensor networks is investigated. The problem is to expend as little energy as possible receiving and transmitting data, because of constrained battery. In this paper, in order to extend the lifetime of the network, we proposed a location-based clustering algorithm for wireless sensor network with skewed-topology. The proposed algorithm is to deploy multiple child nodes at the sink to avoid bottleneck near the sink and to save energy. Proposed algorithm can reduce control traffic overhead by creating a dynamic cluster. We have evaluated the performance of our clustering algorithm through an analysis and a simulation. We compare our algorithm`s performance to the best known centralized algorithm, and demonstrate that it achieves a good performance in terms of the life time.
 Keywords
Skewd Topology;Wireless Sensor Network;Energy Consumption;Centralized Algorithms;
 Language
English
 Cited by
 References
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