An energy-optimal offloading algorithm of mobile computing based on HetNets

An energy-optimal offloading algorithm of mobile computing based on HetNets
复制标题

DOI:
10.1109/iccve.2015.68
复制
发表时间:
2015-10
期刊:
2015 International Conference on Connected Vehicles and Expo (ICCVE)
影响因子:
--
通讯作者:
Shiwei Cao;Xiaofeng Tao;Yanzhao Hou;Qimei Cui
Shiwei Cao;Xiaofeng Tao;Yanzhao Hou;Qimei Cui
中科院分区:
其他
文献类型:
--
作者:
Shiwei Cao;Xiaofeng Tao;Yanzhao Hou;Qimei Cui

文献摘要

被引文献

相似文献

电池寿命不足已经成为移动智能终端的最大限制,通过在远程服务器上执行应用程序的部分计算,卸载移动计算是一种可能有效延长移动智能终端电池寿命的方法。然而,传输延迟和无线传输条件是移动卸载的主要制约因素。异构网络(HetNets)的发展带来了高速、便捷的无线接入,使移动计算的卸载变得更加容易。本文讨论了基于HetNets的移动计算卸载问题,提出了一种能量优化的移动计算卸载算法,在给定应用程序执行时间的要求下,实现移动终端的最大节能。首先,给出了移动计算卸载的数学模型。基于组合优化的最优算法可以得到最优的节能效果,仿真结果表明,该算法的节能效果在43%左右。次优算法的性能非常接近最优解,但时间复杂度仅为O(N)。仿真结果显示了不同算法的性能以及不同无线条件下节能的关系。
The insufficiency of battery lifetime has become the biggest limited of mobile smart-terminal, offloading of mobile computing is a potential effective method to extend the battery lifetime of mobile smart-terminal by executing some computation of applications in remote servers. However, the delay of transmission and the wireless transmission conditions are the main constraints of mobile offloading. The development of HetNets (Heterogeneous Networks) brings high speed and convenient wireless access, which will make the mobile computing offloading more easy. In this paper, the offloading of mobile computing is discussed based on HetNets, and an energy-optimal offloading algorithm of mobile computing is proposed to achieve the maximum saving energy of the mobile terminal under the requirement of given application execution time. First, the mathematical model of the mobile computation offloading is given. The optimal algorithm based on Combinatorial Optimization can get the optimal saving energy and the energy saving of it in the simulation is bounced around 43%. The performance of suboptimal algorithm is very close to the optimal solution but the time complexity is just O(N). Simulation results also show the performance of different algorithms and relation between saving energy and different wireless conditions.