Energy-Aware Cost-Effective Cooperative Mobile Streaming on Smartphones over Hybrid Wireless Networks

Zhihao Qu, Baoliu Ye, Bin Tang, Sanglu Lu, Song Guo
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引用次数: 1

Abstract

The ever-increasing demands on mobile streaming over smartphones make the cellular networks always occupied by heavy load under traditional base-station-to-device (B2D) based streaming architecture, and even degrade the quality of service (QoS) seriously. To offload the traffic of cellular networks and provide scalable mobile streaming services with guaranteed QoS, in this paper we propose a device-to-device (D2D) communication motivated cooperative streaming framework by exploiting the capacity of both WiFi interface and cellular interface equipped with smartphones. Specifically, under the energy constraint of individual smartphone, we develop technique to minimize the over traffic of the cellular network by efficiently disseminating video over the D2D network with multi-hop routing supported. We formulate such an energy-aware cost-effective video dissemination problem as an integer linear programming problem, and show it to be NP-hard and even hard to approximate. We further present an energy allocation based algorithm and a simulated annealing heuristic algorithm which provide a trade-off between the performance and complexity to support the dissemination scheduling of cooperative mobile streaming. We evaluate the performance effectiveness of our proposal via both theoretical analysis and extensive simulation.
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基于混合无线网络的智能手机节能高效协同移动流媒体
智能手机对移动流媒体的需求日益增长,使得传统的基于基站到设备(B2D)的流媒体架构下的蜂窝网络总是被繁重的负载所占据,甚至严重降低了服务质量(QoS)。为了减轻蜂窝网络的流量负担,提供可扩展的、有QoS保证的移动流媒体服务,本文提出了一种基于设备到设备(D2D)通信的协同流媒体框架,该框架利用了配备智能手机的WiFi接口和蜂窝接口的容量。具体而言,在单个智能手机的能量约束下,我们开发了一种技术,通过支持多跳路由的D2D网络有效地传播视频,从而最小化蜂窝网络的过度流量。我们将这种能量感知的高性价比视频传播问题表述为整数线性规划问题,并证明它是np困难的,甚至难以近似。我们进一步提出了一种基于能量分配的算法和一种模拟退火启发式算法,在性能和复杂度之间进行权衡,以支持协同移动流的传播调度。我们通过理论分析和广泛的模拟来评估我们的建议的性能有效性。
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