2011 7th International Conference on Wireless Communications, Networking and Mobile Computing 2011
DOI: 10.1109/wicom.2011.6040431
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Efficient Scalable Clustering Scheme for Pseudolinear Mobile Ad Hoc Network

Abstract: One hop clustering scheme in MANET adopts the simple shortest path for packet transmission mechanism by trading off the cluster maintenance overhead. However, as the maintenance overhead increases the network scalability becomes vulnerable. Instead, a Two Hop clustering in Pseudolinear Mobile ad hoc network (THPM) is proposed for providing better scalability with minimum overhead. THPM also incorporates an important parameter, mobility since mobile devices on the move have a great impact on the network structu… Show more

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Cited by 4 publications
(4 citation statements)
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References 11 publications
(12 reference statements)
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“…The algorithms presented in [11] are suited for the possibility of reliable data sharing and communication between highly mobile vehicles, depending on the amount of reliable mobility information available in the targeted system. THPM [12] is the refinement of [13] and extension of PHMANET [11]. THPM offers clustering algorithm for two hop neighbor for PHMANET.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…The algorithms presented in [11] are suited for the possibility of reliable data sharing and communication between highly mobile vehicles, depending on the amount of reliable mobility information available in the targeted system. THPM [12] is the refinement of [13] and extension of PHMANET [11]. THPM offers clustering algorithm for two hop neighbor for PHMANET.…”
Section: Literature Reviewmentioning
confidence: 99%
“…To increase hop, Two Hop clustering scheme for Pseudolinear MANET (THPM) [12] proposed a two hop clustering scheme for PHMANET [11] which is the refinement of [13]. It uses stability metric and Doppler Value (DV) for cluster formation.…”
Section: Introductionmentioning
confidence: 99%
“…The authors referred to these systems as being "pseudo-linear", as they formed a relatively linear routing network, and had relatively constrained movement [14]. This study was subsequently granted a patent [15].…”
Section: Related Studymentioning
confidence: 99%
“…In [17], the clustering problem is formulated into an Integer Linear Programming (ILP) problem and a heuristic is proposed to generate stable clusters. K-clustering [18][19][20][21][22][23] is another class of clustering method in which each node is either cluster head or is at most k hops away from its cluster head. Thus, the size of clusters can be controlled.…”
Section: Introductionmentioning
confidence: 99%