AnImproved Realistic GroupMobility ModelforMANET BasedOnUnified
C. I. E. T Coimbatore · 2009
Allvalidations ofMANET simulationscharacteristics ofhumanmobility tomakeprotocol aremeaningful whentheyuserealistic mobilityevaluations meaningful. Humans rarelymove models.Ifthismovementisunrealistic, the randomly, forexample ina typical public park, simulation results obtained may notcorrectlydifferent Parkusers movedifferent speeds toreach reflect thetrueperformance oftheprotocols. The their different attraction point suchassnack bars, play majority ofexisting mobility models forMANET do areas, etc... Theroute that usertake will notberandom. notprovide realistic movement. Mostofthemobile Thesesort ofhumanbehaviors aremostly handled by nodesaredirectly orindirectly handled byhuman social network mobility modelsthat predict themore beings somobility modelbasedonsocial network realistic nodemovements (2,5). theory predicts thenodemovementsmorerealistic.InMANET,social network concept represents the Majorchallenges ofthese models areidentifying the MobileNodes(MN)by social relationship matrix, community andpredicting thebehavior ofeach whichgives theinformation about theattractiveness of nodeandeachcommunity. nodeswith in thegroup(2,3).Inthis paper, wemodify Our paperreinforces the model and themobility modelthat isfounded onsocial network overcome the challenges by usingUnified theory byintroducing theUnified Relationship Matrix Relationship Matrixwhich identifying the cetom nshisuture moreaccr tlyiand toe(URM)concept. Input tothismobility modelissocial community structure moreaccurately andhelps to newr.arx hchhstelnso indivdual predict thebehaviour ofa MANET. Unified network matrx,whilch hasthelinks ofindividuals Relationship Matrixhelpsto represent the carrying themobile devices. Basedontheresults we relationships ofinter andintra typeofnodesamong generate realistic synthetic networkstructures for thevarious community groupswithinthegiven GloMoSim(9)andNS-2(10). terrain. Itsolves thenodeduplication among Thepurpose ofourresearch istofindeffective and various heterogeneous communitygroupsand efficient meansofrepresenting therelationships from identifies thecorrect community structure. multiple heterogeneous MobileGroups (MG). We are alsofocusing themovementanddirection ofthe Keywords-- Adhoc networks, Mobility, Social MobileGroups. Inthispaper, we usetheURM to Networks, Unified Relationship Matrix, Mobile Nodes, representrelationships from multipleand Mobile Groups. heterogeneous MobileGroups. We further claim that,