Opportunisticnetworksarederivedfromdelaytolerantnetworks,wheremobilenodeshavenoend-to-endconnections.Nodesarerepresentedbypeople,whichmeansthatopportunisticnetworkscanberegardedassocialnetworks.Humanmobilityplaysanimportantroleinaffectingtheperformanceofforwardingprotocolsinsocialnetworks,furthermore,thetrajectoryofpeople'smovementsaredrivenbysocialcharacteristics.However,currentroutingprotocolsrelyonsimplemobilitymodels,andrarelyconsidersocialcharacteristics.Consideringtwoheterogeneousnetworkmodels,ansocialopportunisticnetworksrouting(SONR)wasproposedwhichbringsanadapteddiscreteMarkovchainintonodes'mobilitymodelandcalculatesthetransitionprobabilitybetweensuccessivestatus.ComparisonwasmadebetweenSpray,WaitandEpidemicprotocol.SimulationshowthatSONRcanimproveperformanceondeliveryratio,deliverylatencyandnetworkoverhead,meanwhile.SONRapproachestheperformanceofEpidemicrouting.
