Implementation and Performance Evaluation of Data Offloading Approaches for Mobile Social Networks
Cellular networks are facing severe traffic overloads due to the proliferation of smart handheld devices and traffic hungry applications. This paper tries to offload the cellular network traffic through opportunistic communications and social participation formed by the short-range communication technologies in the smart phones (e.g., Wi-Fi, Bluetooth). The authors design an enhanced greedy algorithm for target set selection problem. Their design enables to select the most active, fixed located and having more energy mobile nodes into the target-set, which affect the more number of infected users.