Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/6993
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dc.contributor.authorGowrishankar, S.-
dc.contributor.authorSarkar, S.K.-
dc.contributor.authorBasavaraju, T.G.-
dc.date.accessioned2020-03-30T09:46:35Z-
dc.date.available2020-03-30T09:46:35Z-
dc.date.issued2009-
dc.identifier.citation1st International Conference on Networks and Communications, NetCoM 2009, 2009, Vol., , pp.408-413en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/6993-
dc.description.abstractA characteristic feature of ad hoc networks is the infrastructure less and seamless connectivity of the wireless mobile nodes. Mobility plays an important role in the connectivity of these nodes. In this paper a performance comparison of five important mobility models; Community Model, Group Force Mobility Model (GFMM), Reference Point Group Mobility (RPGM), Manhattan Mobility Model and Random Waypoint-Steady State (RWP-SS) Mobility Model has been analyzed. Community Model, GFMM and RPGM Mobility Models are pure group mobility models, while Manhattan Mobility Model can be considered as a pseudo Group Mobility Model. We have included RWP-SS to give a whole picture of how group mobility models stand against a random model like RWP-SS. From our analysis we deduce that group mobility models hold inherent advantage over mobility models like Random Waypoint models. Among the group mobility models, Community model has good performance when compared to other mobility models. Energy Consumption of these mobility models has also been analyzed. Various Metrics like Packet Delivery Ratio, Average Network Delay, Network Throughput, Routing Overhead and Number of Hops have been considered. The results obtained in our paper colligates with the theoretical results in [20]. We also claim that our work is the first to compare these five different mobility models together. � 2009 IEEE.en_US
dc.titleSimulation based performance comparison of community model, GFMM, RPGM, manhattan model and RWP-SS mobility models in MANETen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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