2010
DOI: 10.1016/j.aeue.2009.01.004
|View full text |Cite
|
Sign up to set email alerts
|

Energy efficient clustering algorithm for maximizing lifetime of wireless sensor networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
37
0

Year Published

2011
2011
2024
2024

Publication Types

Select...
6
3

Relationship

0
9

Authors

Journals

citations
Cited by 117 publications
(45 citation statements)
references
References 3 publications
0
37
0
Order By: Relevance
“…In this model, we consider the energy used during information transmission that include message sending and message receiving [14,24]. We assume that the initial energy of each node is the same and that the energy consumption is in direct proportion to the distance between the nodes.…”
Section: Energy Consumptionmentioning
confidence: 99%
“…In this model, we consider the energy used during information transmission that include message sending and message receiving [14,24]. We assume that the initial energy of each node is the same and that the energy consumption is in direct proportion to the distance between the nodes.…”
Section: Energy Consumptionmentioning
confidence: 99%
“…In our work, we use the radio model proposed in [17]. According to this model, the energy cost to transmit or receive k bits between two sensor nodes that are separated by a distance d is given by the following equations:…”
Section: Network Energy and Threat Modelsmentioning
confidence: 99%
“…Min et al, [17] developed an algorithm that, it is a clustering analysis model with optimal one-hop which determines the angle of clustering and formulates these two parameters using minimization of energy consumption in inter cluster and intra cluster communication. In addition, it uses a mechanism in which every cluster head works permanently and cluster head role is never changed until cluster head performance time reaches a significant value.…”
Section: -12 Energy Efficient Clustering Algorithm For Maximizing Tmentioning
confidence: 99%