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An Optimal Group Based Routing Using Social Behavior

Abstract

DTN (Delay Tolerant Networks) are defined by the continuous endless connection due to node mobility, limited storage and constrained power resources. Several routing protocols assumed the subsistence continuous connection. This type of attitude of those protocols created a data packet failure problem. In order to overcome the above issue along with the frequent disconnections, DTN stored the data packets for long time and transmits the data packets to their neighbor node. This paper deals with the two main objectives which are maximizing the delivery ratio and reducing the storage and energy consumption. This paper proposes the scheme ESGBR [Enhanced social group behavior based routing] with a Meta heuristic method with ORACO [optimal routing based on ant colony optimization] protocol. Simulation results show that the optimal routing ORACO can not only have a higher delivery ratio and lower delay, but also have a lower data forwarding cost, in terms of the number of relays used. The ESGBR, that utilizes the social relations between nodes to reduce redundant copying of packets and Tabu search helps to identify the optimal path for every data. This also compared the ESGBR with the existing SGBR technique with various QOS parameters. The earned Results shows that the proposed scheme attained higher delivery ratio and less delay compared to other schemes

Kowsalya.M, M.Soranamageswari

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