基于压缩感知的传感器网络能量高效数据采集研究
关键词：数据采集，数据压缩，无线传感器网络（WSN）
毕业设计说明书（毕业论文）外文摘要
Title Distributed Compressive Sampling for Lifetime
Optimization in Dense Wireless Sensor Networks
Abstract
The problem of data sampling and collection in wireless sensor networks is becoming critical as larger networks are being deployed.Increasing network size poses significant data collection challenges,for what concerns sampling and transmission coordination as well as network lifetime.To tackle these problems,in-network compression techniques without centralized coordination are becoming important solutions to extend lifetime.In this paper,we consider a scenario in which a large WSN,based on ZigBee protocol,is used for monitoring.We propose a new algorithm for in-network compression aiming at longer network lifetime.Our approach is fully distributed:each node takes a decision about the compression and forwarding scheme to minimize the number of packets to transmit.Performance is investigated with respect to network size using datasets gathered by a real-life deployment. An enhanced version of the algorithm is also introduced to take into account the energy spent in compression.Experiments demonstrate that the approach helps finding an optimal tradeoff between the energy spent in transmission and data compression.
Index Terms—data gathering, data compression, wireless sensor network (WSN).
目 次
1 绪论 1
1.1 研究背景 1
1.2 国内外研究现 2
1.3 本文主要工作 4
1.4 本文结构安排 4
2 无线传感器网络中的传统数据压缩 5
2.1 无线传感器网络高效数据采集概述 5
2.2 无线传感器网络中的传统数据压缩算法 6
2.3 小结 8
3 混合算法和改进算法 9
3.1 混合算法 9
3.2 混合算法的数据收集 10
3.3 改进算法 11
3.4 小结 13
4 系统实现与仿真实验 14
4.1 实验设计 14
4.2 运行测试 15
4.3 实验结果 21
4.4 小结 22
结 论 23
致 谢 24
参考文献25
1 绪论
本章首先论述了本文的研究背景，随后分析了基于压缩感知的无线传感器网络的国内外研究现状，最后给出了本文的主要工作和结构安排。