A utility minimization approach for energy‐aware cooperative content distribution with fairness constraints
A utility minimization approach for energy‐aware cooperative content distribution with fairness constraints
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DOI：
10.1002/ett.1546
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发表时间：
2012-06
影响因子：
3.6
通讯作者：
E. Yaacoub;L. Al-Kanj;Z. Dawy;S. Sharafeddine;F. Filali;A. Abu-Dayya
中科院分区：
文献类型：
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作者：
E. Yaacoub;L. Al-Kanj;Z. Dawy;S. Sharafeddine;F. Filali;A. Abu-Dayya
研究了以能量最小化为目标的移动的终端之间的协作问题。其目的是向协作的MT分发共同感兴趣的内容，同时确保降低能耗。为了实现这一目标，内容将通过远程链接发送到选定的MT。然后，它被转发到短距离移动的到移动的链路上的其他MT。该问题被公式化为一个优化问题，最佳解决方案被证明是由发送内容到一个单一的MT在远程链路上，并有MT分发它的短程链路。这导致所选择的MT的不公平的能量消耗。因此，为了保证能量消耗的公平性，提出了一种低复杂度的效用最小化算法。通过适当的效用函数，该算法可以实现最优的贪婪能量最小化方案，也可以保证不同程度的能量消耗公平性。有关的集中式和分布式实现所提出的算法的实际约束进行了讨论。仿真结果表明，与非协作的情况相比，所提出的方法可以实现显着的节能。此外，公平性和节能之间的权衡实现取决于所选择的实用程序。版权所有© 2012约翰威利父子有限公司.
Cooperation between mobile terminals (MTs) with the objective of energy minimization is studied. The purpose is to distribute a content of common interest to collaborating MTs while ensuring a reduced energy consumption. To reach this goal, the content is sent to selected MTs on a long‐range link. Then, it is forwarded to other MTs on short‐range mobile‐to‐mobile links. The problem is formulated as an optimization problem, and the optimal solution is shown to consist of sending the content to a single MT on the long‐range link and of having that MT distribute it on the short‐range links. This leads to an unfair energy consumption for the selected MT. Thus, to ensure fairness in energy consumption, a low complexity utility minimization algorithm is proposed. Using the appropriate utilities, the algorithm can be used to implement the optimal greedy energy minimization solution or to ensure different degrees of fairness in energy consumption. Practical constraints concerning the centralised and distributed implementations of the proposed algorithm are also discussed. Simulation results show that significant energy savings can be achieved with the proposed approach compared with the non‐collaborative case. In addition, a tradeoff between fairness and energy savings is achieved depending on the utility selected. Copyright © 2012 John Wiley & Sons, Ltd.