PROJECT TITLE :
Social-Similarity-Aware TCP With Collision Avoidance in Ad Hoc Social Networks
An unexpected social network (ASNET), that explores social connectivity between users of mobile devices, is becoming one of the most vital sorts of these days's Internet. During this context, most bandwidth utilization of intermediate nodes in resource scarce environments is one in all the difficult tasks. The traditional Transport Management Protocol (TCP) uses the spherical-trip time mechanism for sharing bandwidth resources between users. But, it does not explore socially aware properties between nodes and can't differentiate effectively between varied sorts of packet losses in wireless networks. During this paper, a socially aware congestion avoidance protocol, particularly, TIBIAS, that takes advantage of similarity-matching social properties among intermediate nodes, is proposed to improve the resource efficiency of ASNETs. TIBIAS performs efficient information transfer over TCP. During the course of bandwidth resource allocation, it gives high priority for maximally matched interest similarity between totally different TCP connections on ASNET links. TIBIAS does not require any modification at lower layers or on receiver nodes. Experimental results show that TIBIAS performs better as compared with existing protocols, in terms of link utilization, unnecessary reduction of the congestion window, throughput, and retransmission ratio.
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