基于移动云计算技术的移动设备能耗优化研究

发布时间：2018-10-24 19:37

【摘要】：移动设备在人们的生活中变的越来越普及，并显著地改变了人们的生活方式。移动云计算作为一种新的计算方式，提高了移动设备在计算、存储等方面的能力，明显地提升了用户体验，能够满足用户在移动设备上进行复杂计算和大容量存储等需求。然而，由于无线网络带宽不稳定以及用户的移动性等因素会影响移动设备数据传输的性能，加剧移动设备传输数据消耗的能量。同时，全世界对于能源问题的关注程度在加强，电池容量的增长速度较慢，移动设备的能耗问题成为目前的研究热点。因此，本文对基于移动云计算技术的移动设备的能耗问题进行优化具有重要的意义。本文选取3G无线网络环境以及容忍延迟的且相互独立的同步应用作为移动设备传输能耗优化的研究对象。因为移动设备使用3G无线网络进行数据传输时，每传输完一次数据，都会带来一次尾能耗的开销，本文提出的延迟数据传输的方法，能有效节省尾能耗的开销。本文首先给出了数据传输的系统模型和能量模型；然后提出一种能效传输策略，即在控制数据传输延迟的条件下，最小化传输能耗；最后利用Lyapunov方法对该能效传输策略进行优化，并给出能效传输算法。本文对能效传输算法进行了仿真实验，实验结果表明，，能效传输算法能够在控制数据传输延迟和不降低用户体验的条件下实现传输能耗的最小化。
[Abstract]:Mobile devices are becoming more and more popular in people's lives, and have significantly changed people's way of life. As a new computing method, mobile cloud computing improves the computing and storage capabilities of mobile devices, improves the user experience, and meets the needs of complex computing and mass storage on mobile devices. However, due to the instability of wireless network bandwidth and the mobility of users, the performance of data transmission of mobile devices will be affected, which will aggravate the energy consumption of data transmission in mobile devices. At the same time, the attention to the energy problem is increasing all over the world, the growth of battery capacity is slow, and the energy consumption of mobile devices has become a hot research topic. Therefore, it is of great significance to optimize the energy consumption of mobile devices based on mobile cloud computing technology. In this paper, 3G wireless network environment and delay tolerant and independent synchronous applications are selected as the research object of optimization of transmission energy consumption of mobile devices. Because mobile devices use 3G wireless network for data transmission, each time the data is transmitted, it will bring the cost of one tail energy consumption. The method of delayed data transmission proposed in this paper can effectively save the end energy cost. In this paper, the system model and energy model of data transmission are given firstly, and then an energy efficiency transmission strategy is proposed, which is to minimize the transmission energy consumption under the condition of controlling the data transmission delay. Finally, the energy efficiency transmission strategy is optimized by using Lyapunov method, and the energy efficiency transmission algorithm is given. In this paper, the energy efficiency transmission algorithm is simulated. The experimental results show that the energy efficiency transmission algorithm can minimize the transmission energy consumption under the condition of controlling the data transmission delay and not reducing the user experience.
【学位授予单位】：华中科技大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TN929.5

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