EFFECTIVE DATA FORWARDING TECHNIQUE IN MOBILE SOCIAL NETWORK
Journal Title: International Journal of Engineering Sciences & Research Technology - Year 30, Vol 4, Issue 6
Abstract
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.
Authors and Affiliations
Ms. Yogita Y. Bhosale , prof. Nilesh R. Pardeshi
A Novel Heuristics to Reconstruction of an Object from Multiple Orthogonal Projections
Three directional view of an object often give a pleasure to human eye than the conventional two dimensional (directional) images. Therefore converting images from 2D to three directional are sometimes very much...
USE OF SVM KERNEL FOR BETTER CLASSIFICATION ACCURACY FOR REMOTE SENSING DATA
The classification of remote sensing images is a challenging task, as image contains bulk of information which is to be carefully extracted and used. Support vector machine (SVM) has proven its excellence in the f...
Neural Signal – Action Potential Spike Count Transmision Through Embedded Wireless Mote
To enable a wireless neural recording system that benefit to finding the disease from the nerves system is remotely monitoring as prevention is better than cure. The neural recording system is counting the spike value f...
A Study on Energy-Balanced Transmission policies for Maximize Network Lifetime in Wireless Sensor Networks
Unbalanced energy consumption is an inherent problem in wireless sensor networks characterized by multihop routing and many-to-one traffic pattern, and this uneven energy dissipation can significantly reduce netwo...
Template Based Abstractive Summarization of Twitter Topic with Speech Act
Now a days, people are using microblogging services such as Twitter, Facebook, Google+ etc. The content of such site is large number of small textual messages that is posted by millions of users, at random or in...