Energy-Efficient Massive Content Delivery via Devices-to-Devices Communication
Zhe Yuan, Xuguang Zhang, Jianxin Chen, Liang Zhou · 2018
Conventionally, the D2D content sharing mode is “one-to-one” matching, i.e, one demander will select one provider to request files from it. Under this mode, it is hard to cope with the growing demand for multimedia services for mobile users due to limited battery capacity for mobile devices. In this work, we propose an energy-efficient content sharing system via a novel Devices-to-Devices Communication (Ds2Ds), which shares content among multiple users to reduce the power consumption per user device. The highlights of this work lie in three parts. Firstly, we model the match of providers to demanders as a maximum weighted matching problem, and find a distributed algorithm to solve it. Secondly, we design an optimal packet split algorithm for Ds2Ds under comprehensive consideration of two aspects of communication efficiency and energy consumption to solve the problem how many data packets each provider transfers. Thirdly, we model the file reconstruction problem of collaboration demanders as a NP-hard problem and develop a best-effort distributed greedy algorithm framework to find the shortest file reconstruction path. Finally, numerical results demonstrate that the proposed mechanism can greatly reduce the energy consumption of each device.