Chaos modulation for wireless sensor networks

在过去的十年里，由于新的应用，无线传感器网络引起了人们的极大关注。 由能够从物理设备获取信息的小型设备组成的大规模网络实现 环境。虽然大多数部署的无线传感器网络测量标量物理数据，如温度 和压力，最近廉价硬件的供应，如cmos摄像头和麦克风 能够无处不在地捕捉多媒体内容，促进了无线多媒体传感器的发展 网络(WMSN)。为了降低能量消耗，考虑了非相干调制。 对信道噪声/失真的健壮性较差。在本研究中，一种新型的非相干扩频 调制方案将利用非线性动力学独特的遍历特性来开发。而当 由于电路简单，它具有低成本和低能耗的特点，可以像相干扩频一样健壮 频谱方案。在应用层，最优融合方法将通过考虑 在误码率方面的通信效果。所有开发的算法都将在试验台上进行评估 由多个基于长期演进(LTE)的软件无线电组成，能够测试所有七个 WMSN的各层。由于加拿大大部分地区人口不足，可以部署WMSN进行监测 环境危害和流行病的传播。在与行业合作伙伴的合作下，这项工作 ID致力于石油和天然气远程监测的无线3C检波器网络。

Wireless sensor networks have attracted considerable attention during the last decade due to new applications enabled by large-scale networks of small devices capable of harvesting information from the physical environment. While most deployed wireless sensor networks measure scalar physical data such as temperature and pressure, the recent availability of inexpensive hardware such as CMOS camera and microphones that are able to ubiquitously capture multimedia content has fostered the development of wireless multimedia sensor networks (WMSNs). To reduce energy consumption, non-coherent modulations are considered at the expense of poor robustness to channel noise/distortions. In this research, a novel non-coherent spread spectrum modulation scheme will be developed by exploiting the unique ergodic property of nonlinear dynamics. While it is low-cost and low energy-consuming due to the circuit simplicity, it can be as robust as the coherent spread spectrum scheme. At the application layer, optimal fusion methods will be developed by considering the communication effects in terms of bit error rate. All the developed algorithms will be evaluated using a testbed composed of multiple long term evolution (LTE) based software radio, which is capable of testing all the seven layers of a WMSN. Since large parts of Canada are under-populated, WMSNs can be deployed for monitoring of environmental hazards and propagation of epidemics. In collaboration with the industry partners, this work id dedicated to oil and gas remote monitoring for wireless 3C geophone networks.