A T2T-Based Offloading Method: Virtual Bank With Movement Prediction

Abstract

Rapid developments in network technologies and mobile devices improve our lives, but the resultant fast-growing traffic leads to a lack of cellular network resources and breaks the balance between profit and costs for network providers. Data offloading can relieve the loads on network infrastructure and shift data to a complementary wireless technology, thereby increasing maximum throughput and extending network coverage. In this paper, we propose a terminal-to-terminal-based offloading method called Virtual Bank with movement prediction (VBMP), which uses an opportunistic network to achieve offloading. We establish a virtual trading system to manage information transmission. Meanwhile, node movement prediction and node subset selection via a submodular function are used to select the relay nodes and to discover the dynamic topology of mobile nodes. Theoretical analysis and simulation results demonstrate that VBMP effectively improves data offloading.

Keywords

• Data offloading
• opportunistic network
• game theory
• motion prediction
• T2T