无线传感器网络高能效数据压缩方法研究

发布时间：2018-04-03 14:29

本文选题：无线传感器网络　切入点：数据压缩　出处：《中南大学》2014年硕士论文

【摘要】：能量是无线传感器网络(Wireless Sensor Networks,WSN)极其重要而有限的资源,而节点绝大部分能量都消耗在无线数据通信上,如何高效利用能量是WSN面临的关键问题。基于WSN监测数据的时、空相关性,数据压缩能有效减少通信数据量,是传感器节点重要的节能手段。然而,数据压缩减少通信能耗的同时,节点的处理能耗也增加。因此,如何极大限度的提高数据压缩的能量收益,是降低系统能耗的关键所在。数据压缩算法的能效主要涉及能效性评估方法和能效提高方法。因此,本文主要研究了面向一般硬件平台的数据压缩能效评估方案、数据压缩的源程序级能耗优化方法和具有发射功耗感知的数据压缩三个问题。为了更加客观有效地评价具体数据压缩方法所能实现的节能效果,本文在已有评估准则的基础上,给出了硬件因素和算法因素分离的数据压缩算法的能效性评估方案；为了提高压缩算法程序运行效率,降低算法自身能量消耗,研究并提出了针对数据压缩算法的程序级节能优化方法；为了使数据压缩算法在无线发射功率进行调节时仍能保持节能收益,提出了可适应发射功率变化压缩算法调整机制。本文通过对能效性评估、源程序节能优化和压缩算法调整等三个方面的方法研究、方案设计来提高数据压缩的能效性,并以典型节点的硬件平台资源条件为例,通过计算、测试验证了本文所提方法、方案的可行性和有效性,理论分析计算和实验结果都表明所提出的方法能有效提高无线传感器节点的整体节能效率。图28副,表18个,参考文献90篇。
[Abstract]:Energy is an extremely important and limited resource for Wireless Sensor Networks (WSNs) in wireless sensor networks, and most of the energy of nodes is consumed in wireless data communication. How to utilize energy efficiently is a key problem for WSN.Spatial correlation and data compression can effectively reduce the amount of communication data based on WSN, which is an important energy saving method for sensor nodes.However, while data compression reduces communication energy consumption, node processing energy consumption also increases.Therefore, how to greatly improve the energy return of data compression is the key to reduce system energy consumption.The energy efficiency of data compression algorithm is mainly related to energy efficiency assessment and energy efficiency improvement methods.Therefore, this paper mainly studies the energy efficiency evaluation scheme of data compression based on general hardware platform, the optimization method of source code level energy consumption of data compression and the data compression with transmit power sensing.In order to evaluate more objectively and effectively the energy saving effect achieved by specific data compression methods, this paper presents an energy efficiency evaluation scheme of data compression algorithm based on the existing evaluation criteria, in which hardware factors and algorithm factors are separated.In order to improve the efficiency of the compression algorithm program and reduce the energy consumption of the algorithm, a program-level energy saving optimization method for the data compression algorithm is studied and proposed.In order to keep the energy saving benefit of the data compression algorithm when the wireless transmission power is adjusted, the adaptive algorithm adjustment mechanism is proposed.In this paper, the energy efficiency evaluation, the optimization of source code and the adjustment of compression algorithm are studied, and the scheme is designed to improve the energy efficiency of data compression. Taking the resource condition of hardware platform of typical node as an example, the calculation is carried out.The test results show that the proposed method is feasible and effective. The theoretical analysis and experimental results show that the proposed method can effectively improve the overall energy-saving efficiency of wireless sensor nodes.There are 28 pairs of figs, 18 tables and 90 references.
【学位授予单位】：中南大学
【学位级别】：硕士
【学位授予年份】：2014
【分类号】：TP212.9;TN929.5

【参考文献】