Energy efficient cluster head selection algorithm in mobile wireless sensor networks

Anitha, R.; Kamalakkannan, P.

doi:10.1109/iccci.2013.6466154

Cited by 16 publications

(7 citation statements)

References 6 publications

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“…So this made a node to avoid more packet loss when it has lost or is going to lose its connection with its cluster head. R. U. Anitha et al proposed an energy efficient cluster head selection algorithm for WMSN [20]. In this scheme the authors introduced the sink node and gateway nodes which are static and the rest of the nodes are mobile.…”

Section: Literature Reviewmentioning

confidence: 99%

Secure Cluster-Head Selection Algorithm Using Pattern for Wireless Mobile Sensor Networks

2019

Teh. vjesn.

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Selecting a cluster head (CH) in wireless mobile sensor network is a crucial task. Numerous algorithms have been presented for this purpose in recent literature. In these algorithms, all nodes are permitted to contend in CH selection process regardless of their less resource. This meaningless participation of ineligible nodes in the CH selection process causes unnecessary communication cost. Similarly the use of real data for CH selection increases communication cost. Additionally, no one algorithm has focus in security aspect of CH selection process. In this article Pattern Based secure CH Selection algorithm has been presented. This algorithm filters the ineligible nodes, puts them to sleep mode thereby restricting them from not participating in the CH selection process. Additionally the uses of pattern instead of real data in CH selection decrease communication cost and increase security of CH selection process. The simulation results show the improvement in lifetime and enhancement in security of CH selection.

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Section: Literature Reviewmentioning

confidence: 99%

Secure Cluster-Head Selection Algorithm Using Pattern for Wireless Mobile Sensor Networks

2019

Teh. vjesn.

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“…Anitha et al, [34] designed an Energy Efficient Cluster Head Selection (EECHS) protocol in mobile wireless sensor network. This protocol selects the cluster head nodes based on the residual energy, lowest mobility factor and density of the node.…”

Section: Literature Surveymentioning

confidence: 99%

EDOCR: Energy Density On-Demand Cluster Routing in Wireless Sensor Networks

Thippeswamy¹,

Reshma²,

Shaila³

et al. 2014

IJCNC

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“…Each node is capable to perform various tasks like sensing of data, communication in the network and transmission of data to the base station. Grilling of literature [1,2] reveals that routing protocols performance depends upon various factors. In the literature many researchers [3,4,5] have proposed diversity of protocols which are suitable for MWSN; from these proposed protocols very few of them gave desirable output but, to some extent also the overall performance of protocol was not appreciable.…”

Section: Introductionmentioning

confidence: 99%

“…Sensor nodes deployment and cluster head election task is accomplished at physical layer. Literature[2,6,8,10, 11, 12] reveals that clustering is one of the key solution for MWSN. This layer elects one of the participating mobile sensors as cluster head on basis of amount of available energy, remaining time of stay in the network and distance of respective node from the base station[14, 15].…”

mentioning

confidence: 99%

Cluster based Energy Efficient Routing Protocol (EERP) for Mobile Wireless Sensor Network

2019

IJRTE

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Energy efficiency is one of the major open research challenges for Mobile Wireless Sensor Networks. This paper evaluates EERP which is an integrated solution for routing data according to user preferences and context. Proposed protocol contains layers for optimal cluster head election, data aggregation and filtering of sensed data. Each layer deploys intelligent mobile agents for performing its designated function efficiently. The work has been evaluated on standard metrics available in literature. Initial implementation and evaluation indicated extended network life time, transmission delay and higher packet delivery ratio as well.

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Energy efficient cluster head selection algorithm in mobile wireless sensor networks

Cited by 16 publications

References 6 publications

Secure Cluster-Head Selection Algorithm Using Pattern for Wireless Mobile Sensor Networks

Secure Cluster-Head Selection Algorithm Using Pattern for Wireless Mobile Sensor Networks

EDOCR: Energy Density On-Demand Cluster Routing in Wireless Sensor Networks

Cluster based Energy Efficient Routing Protocol (EERP) for Mobile Wireless Sensor Network

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