Chaos modulation for wireless sensor networks

点击翻译按钮获取中文摘要

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.