A Performance Evaluation of a Novel Clustering Scheme Considering Local Node Density over WSN

Kim, Jeong-Sam; Byun, Tae-Young

doi:10.1007/978-3-642-27201-1_36

Cited by 1 publication

(2 citation statements)

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“…Finally, BS selects 5% nodes with higher amount of residual energy as cluster heads for next round. The number of selected cluster heads can be calculated as follows [9,10]. ( 2 ) where, K is the number of cluster heads, N is the number of live nodes in current round, and P is percentage of cluster heads to all nodes.…”

Section: Key Ideasmentioning

confidence: 99%

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A Centralized Cluster Head Selection Scheme for Reducing Discrepancy among Clusters over WSN

Jang

Byun

2012

Lecture Notes in Electrical Engineering

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Abstract. In this paper, we present a cluster head selection scheme that considers residual energy of a node and local node density to maintain cluster size and the number of clusters, which dynamically adjusts cluster size to a recommended threshold with the ever changing network dynamics of sensor network. In previous representative clustering schemes such as LEACH and D-LEACH, cluster heads are selected with a recommended probability in a distributed manner. So, there are great deviations of the number of clusters and cluster size per cluster at every round during network lifetime. To improve these discrepancies in clusters, our proposed scheme selects cluster heads on basis of amount of residential energy of nodes in centralized manner. Finally, our cluster head selection scheme can reduce discrepancies of the cluster size and the number of clusters across network lifetime comparing with existing schemes, and can potentially prolong the network lifetime.

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Section: Key Ideasmentioning

confidence: 99%

“…Because a sensor node needs to operate for a long time with a limited energy resources, innovative techniques to eliminate energy inefficiencies must be used. Various networking principles and protocols for WSNs investigated in past [1][2][3][4][5][6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%