Abstract: Mobile social sensing network is one kind of emerging networks in which sensing tasks are performed by mobile users and sensing data are shared and collected by leveraging the intermittent inter-contacts among mobile users. 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 social-based routing. Furthermore, propose an improved version of EE-SR to dynamically adjust the controlling parameter. Simulation results on real-life mobile traces demonstrate the efficiency of proposed framework. In this paper, the problem of routing in intermittently connected wireless networks comprising multiple classes of nodes is addressed. We show that proposed solutions, which perform well in homogeneous scenarios, are not as competent in this setting. To this end, we suggest a class of routing schemes that can recognize the nodes of “maximum utility” for routing, civilizing the wait and release ratio by 4-5×.Additionally, projected an analytical framework based on fluid models that can be used to consider the presentation of various opportunistic routing strategies, in heterogeneous settings.
Keywords: Social Routing, Social Metrics, MANET, Topology Routing, EE-SR.