EFFECTIVE DATA FORWARDING TECHNIQUE IN MOBILE SOCIAL NETWORK

This paper aims to intend efficient data forwarding technique based on social similarity in case of mobile social networks (MSNs). Mobile Social Network (MSN) with miscellaneous connectivity characteristics is a grouping of opportunistic network. Since the major difficulty of data forwarding is the mobile ad hoc netw ork and also opportunistic part, techniques intended for opportunistic networks are normally used to forward data/message in MSNs. Different definitions of social similarity, acting as the criteria of relay selection, create various forwarding techniques; and the appropriateness and expediency of definitions establish the presentation of the system indeed. The finest solution given that they do not consider the ubiquitous existences of Transient Connected Components (TCCs), where nodes within a TCC can reac h each other by multi - hop wireless communications. In this paper, firstly introduce the design of a data forwarding system for MSNs relay on community detection in dynamic weighted networks which is known as LASS. This system is addressed by taking into ac count the dissimilarity of members’ activity inside every community, i.e., local activity. Then, secondly introduce a propose Enhance TCC - aware data forwarding strategies which develop the special description of TCCs to increase the contact opportunities a nd then increase the performance of data forwarding. And finally compare results of LASS and TCC data forwarding techniques.