Social-Similarity-aware TCP with Collision Avoidance in Ad-hoc Social Networks

TL;DR

This paper introduces TIBIAS, a socially-aware TCP protocol for ad-hoc social networks that improves bandwidth utilization and reduces congestion by leveraging social similarity among nodes without requiring lower-layer modifications.

Contribution

The paper proposes TIBIAS, a novel socially-aware congestion control protocol that enhances resource efficiency in ASNETs by utilizing social similarity matching for better bandwidth management.

Findings

TIBIAS outperforms existing protocols in link utilization.

It reduces unnecessary congestion window reductions.

It improves throughput and decreases retransmission ratio.

Abstract

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.