1 research outputs found
Social-Similarity-aware TCP with Collision Avoidance in Ad-hoc Social Networks
Ad-hoc Social Network (ASNET), which explores social connectivity between
users of mobile devices, is becoming one of the most important forms of today's
internet. In this context, maximum bandwidth utilization of intermediate nodes
in resource scarce environments is one of the challenging tasks. Traditional
Transport Control Protocol (TCP) uses the round trip time mechanism for sharing
bandwidth resources between users. However, it does not explore socially-aware
properties between nodes and cannot differentiate effectively between various
types of packet losses in wireless networks. In this paper, a socially-aware
congestion avoidance protocol, namely TIBIAS, which takes advantage of
similarity matching social properties among intermediate nodes, is proposed to
improve the resource efficiency of ASNETs. TIBIAS performs efficient data
transfer over TCP. During the course of bandwidth resource allocation, it gives
high priority for maximally matched interest similarity between 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 against existing protocols, in terms of link utilization,
unnecessary reduction of the congestion window, throughput and retransmission
ratio.Comment: 10 pages, 10 figure