Reliability-oriented clustering algorithm for service search in ubiquitous stub environments

Jiang, Feng; Rui, Lanlan; Guo, Yaoyong; Qiu, Xuesong; Li, Wei

doi:10.1109/apnoms.2014.6996532

Cited by 1 publication

(4 citation statements)

References 7 publications

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“…But due to frequently changing topology and mobility the network suffers from the performance and connectivity issues. In this proposed work the performance and network scaling technologies are discussed and a promising technique is obtained as given in [1]. This protocol implemented with the backup cluster head algorithm during the loss of the primary cluster head this backup cluster head provides the support for connectivity.…”

Section: Discussionmentioning

confidence: 99%

“…With the similar concept a promising technique is obtained in [1]. This technique is provide more stable clusters for the high mobility scenarios.…”

Section: Proposed Workmentioning

confidence: 99%

“…Each cluster has a Cluster Head (CH) as coordinator within the sub-structure. A clustering technique for MANETs, which is weighted clustering algorithm is given in [1]. The performances of this algorithm are evaluated through simulation and the results are encouraging.…”

Section: Related Workmentioning

confidence: 99%

“…The algorithm to choose the backbone should be very fast and efficient as they involve mobile nodes powered by battery. Clustering is also a solution to the above problem [1]. Even clustering suffers overhead from cluster formation and maintenance.…”

Section: Introductionmentioning

confidence: 99%

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Cluster Head Election Approach based on Weighted Clustering Algorithm for MANET

Chourey¹,

.²

2015

IJCA

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The mobile ad hoc network is self-configurable network technology where not any fixed infrastructure is available. Due to frequent mobility and dynamic topology the network suffers from the frequent path breaks and the connectivity issues. The clustering techniques are utilized to improve the connectivity and scalability of network. Therefore a new weight based clustering algorithm is developed using the remain energy, signal to noise ratio, mobility and connectivity for better performance in a cluster. The implementation and the comparative performance study are performed in network simulator 2 platforms. The performance studies of the technique are given in terms of packet delivery ratio, remaining energy, end to end delay, throughput and overhead in network. The obtained results demonstrate the proposed technique improves the reliability of cluster.

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Section: Discussionmentioning

confidence: 99%

“…With the similar concept a promising technique is obtained in [1]. This technique is provide more stable clusters for the high mobility scenarios.…”

Section: Proposed Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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