Description

Wireless Networks consist of a number of nodes which communicate with each other over a wireless channel which have various types of networks. An important new development is the deployment of base stations under laid in a traditional (macro) cellular network. Socially-aware networking (SAN) is a new trend of delay tolerant networks (DTNs) and opportunistic communications. Now-a-days mobile devices are implement with different network interface technologies such as WIFI, Bluetooth, 4G, etc. Mobile data traffic is becoming increased in wireless technologies for connecting mobile users with networks. In this setting, humans are the main carriers of mobile devices. Hence, their connections, social features, and behaviors can be exploited to improve the performance of data forwarding protocols. When a mobile node contacts others, all the encountered nodes could be candidates for relaying her messages to the destination node. Hence the system proposed a new trend on delay tolerant network such as Social aware networking to improve the performance of data forwarding protocols. Considering the users’ daily routines, we observe that three social factors- namely physical proximity, interests, and social relationship- influence the performance of data forwarding. The physical proximity indicates direct contacts among mobile nodes. It performs a multi-dimensional routing protocol by utilizing a time slot management mechanism to discover users’ movement. Simulation results show that the proposed routing protocol improves data forwarding performance than the existing system.