Nearest Neighbor Connectivity in Two-Dimensional Multihop MANETs

dc.contributor.authorJacinto, Gonçalo
dc.contributor.authorAntunes, Nelson
dc.contributor.authorPacheco, António
dc.contributor.editorAntónio, Pacheco
dc.contributor.editorRui, Santos
dc.contributor.editorMaria do Rosário, Oliveira
dc.contributor.editorCarlos Daniel, Paulino
dc.date.accessioned2015-01-06T16:43:25Z
dc.date.available2015-01-06T16:43:25Z
dc.date.issued2014-05
dc.description.abstractA Mobile Ad Hoc Network (MANET) is characterized to be a network with free, cooperative, and dynamic nodes, self-organized in a random topology, without any kind of infrastructure, where the communication between two nodes usually occurs using multihop paths. The number of hops used in the multihop path is an important metric for the design and performance analysis of routing protocols in MANETs. In this paper, we derive the probability distribution of the hop count of a multihop path between a source node and a destination node, fixed at a known distance from each other, and when a fixed number of nodes are uniformly distributed in a region of interest. This distribution is obtained by the Poisson randomization method. To obtain the multihop path, we propose a novel routing model in which the nearest distance routing protocol (NR) is analyzed. Numerical results are obtained to evaluate the performance of the NR.por
dc.identifier.authoremailgjcj@uevora.pt
dc.identifier.authoremailnantunes@ualg.pt
dc.identifier.authoremailapacheco@math.ist.utl.pt
dc.identifier.doi10.1007/978-3-319-05323-3_8
dc.identifier.isbn978-3-319-05322-6
dc.identifier.scientificarea340por
dc.identifier.sharewithCentro de Investigação em Matemática e Aplicaçõespor
dc.identifier.urihttp://hdl.handle.net/10174/12290
dc.language.isoporpor
dc.rightsopenAccesspor
dc.titleNearest Neighbor Connectivity in Two-Dimensional Multihop MANETspor
dc.typebookPartpor
degois.publication.firstPage85por
degois.publication.lastPage94por
degois.publication.titleNew Advances in Statistical Modeling and Applications Studies in Theoretical and Applied Statisticspor

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