2006
DOI: 10.4304/jnw.1.1.12-19
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Mobility Resistant Clustering in Multi-Hop Wireless Networks

Abstract:

This paper presents a Distributed Efficient Clustering Approach (DECA) for mobility-resistant and energy-efficient clustering in multi-hop wireless networks. The clusterheads cover the whole network and each node in the network can exclusiv… Show more

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Cited by 19 publications
(11 citation statements)
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“…DECA is an improved Distributed Efficient Clustering Approach [12], [13]. The basic difference between the HEED and DECA is the decision making process and the score computation.…”
Section: C) Decamentioning
confidence: 99%
“…DECA is an improved Distributed Efficient Clustering Approach [12], [13]. The basic difference between the HEED and DECA is the decision making process and the score computation.…”
Section: C) Decamentioning
confidence: 99%
“…• Due to poor connectivity, some nodes in layer l may not meet the condition (13) and have τ w = 0. These nodes transmit their data directly to the sink node with [data, layer number, node ID].…”
Section: Data-aware Layered Waiting Time Based Data Aggregation Algormentioning
confidence: 99%
“…In order to develop DA-LW for the layered Cellular Network, we first propose a Cluster Head (CH) based aggregation algorithm for this architecture. Clustering mechanisms in sensor networks have been extensively researched in literature [2], [5], [13]. In [10], clustering of mobile nodes is done to guarantee a probability of path availability within a cluster, while the B − protocol is proposed in [2].…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…DECA is an acronym for Distributed Efficient Clustering Approach [9]. DECA differs from HEED in deciding and arriving at the score computation.…”
Section: Decamentioning
confidence: 99%