Journal of Innovation in Computer Science and Engineering
  • Year: 2020
  • Volume: 9
  • Issue: 2

A Novel Framework to Improve P2P Data Transmission in Wireless MANET’s for Social Networks

  • Author:
  • D. Navanitha1, N. Tejasree1, K. Anil Kumar2
  • Total Page Count: 4
  • Page Number: 56 to 59

1Assistant Professor, Department of Computer Science and Engineering, CMR Engineering College, Telangana, India

2Department of Information Technology, Guru Nanak Institutions Technical Campus, Telangana, India

*Email: navanithad@gmail.com

**teju.nanduri@gmail.com

***anil777.kumar@gmail.com

Online published on 22 January, 2021.

Abstract

In recent works, Social Network theory has been involved in steering or substance sharing al-gorithms at MANETs. From the time when the nodule faction in a societal network typically follow a con-vinced outline, social network depended direction-finding algorithms believe that each node has constant regularity, to forecast prospect contact option, and decide the node with the uppermost opportunity of productively delivering a container as the subsequently in routing approach. Nevertheless all these methods cannot be straight for wardly worn for content based file probing given that the destinations will be strange at selected one. The social network possesses three properties. Firstly, nodes habitually demonstrate con-vinced interest group patterns and these Nodes usually come into communities according common awareness or property and community members frequently meet each other in the community. Finally, Different nodes have different role and only few nodes have higher connectivity with other nodes in a community which is called centrality. The main objective is to determine appropriate thresholds for the factors affecting file sharing efficiency in P2P content based file sharing systems. Further, the modified SPOON algorithm is implemented in intermittently connected mobile ad hoc systems to observe the efficiency of the file sharing.

Keywords

Centrality, Threshold, Spoon Algo-rithm