MOBILE SOCIAL SENSING NETWORK

Abstract

In this paper, propose a simple Energy Efficient framework for Social-based Routing (EE-SR)
in mobile social sensing networks to balance the load of nodes while maintaining the delivery
ratio within an acceptable range by limiting the chances of forwarding in traditional socialbased routing. Furthermore, propose an improved version of Energy Efficient Social Routing
(EE-SR) to dynamically adjust the controlling parameter. Simulation results on real-life mobile
traces demonstrate the efficiency of proposed framework. In this thesis, the problem of routing
in intermittently connected wireless networks comprising multiple classes of nodes is
addressed. We show that proposed solution, which perform well in homogeneous scenario, are
not as competent in this setting. To this end, propose a class of routing schemes that can
identify the nodes of “highest utility” for routing, improving the delay and delivery ratio.
Additionally, proposed an analytical framework based on fluid models that can be used to
analyze the performance of various opportunistic routing strategies, in heterogeneous settings.