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Clustering for Improved Actor Connectivity and Coverage in Wireless Sensor and Actor Networks
Journal of The Korea Society of Computer and Information
Abbr :
JKSCI
2014, 19(8), pp.63-71
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
2014, 19(8), pp.63-71
Publisher : The Korean Society Of Computer And Information
Research Area : Computer Science
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This paper proposes an algorithm that forms the clusters on the basis of hop distance in orderto improve the actor coverage and connectivity in the sink-based wireless sensor and actornetworks. The proposed algorithm forms the clusters that are distributed evenly in the target areaby electing the CHs(Cluster Heads) at regular hop intervals from a sink. The CHs are elected sequentially from the sink in order to ensure the connectivity between the sink and the actors thatare located on the CHs. Additionally, the electing are achieved from the area of the higher rate ofthe sensors density in order to improve the actor coverage. The number of clusters that are createdin the target area and the number of the actors that are placed on the positions of the CHs arereduced by forming the clusters with regular distribution and minimizing the overlap of themthrough the proposed algorithm. Simulations are performed to verify that the proposed algorithmconstructs the actor network that is connected to the sink. Moreover, we shows that the proposedalgorithm improves the actor coverage and, therefore, reduces the amount of the actors that will bedeployed in the region by 9~20% compared to the IDSC algorithm.
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