Resilient wireless communications using randomly deployed transceivers

有许多新兴的无线概念和应用，其中不同大小和功能的无线电节点部署在不同的条件下。此外，在城市或道路上部署的无线系统数量的快速增长将创造一个不可预测的干扰环境。由于许多新应用设想使用带有一个或多个天线的微型无线电设备，因此开发新的概念以使此类设备在广泛的条件下以合理的可靠性运行是很重要的。关键是为节点构建足够的灵活性，以便能够使其通信参数适应周围环境。本文主要从四个方面对自组织无线通信进行了研究。第一个方面是模拟和表征随机部署无线电的路径损耗和散射特性。我们计划测量不同条件下信道的信号强度和功率延迟分布。第二方面是表征传输带宽与传播环境之间的关系。部署的距离和密度、数据传输能力和节点的生命周期。第三个方面是设计、模拟和测试允许小节点适应其环境以保持可靠通信的新概念。四是提出创新方法，提高网络的可靠性和健康度。基于测量的传播建模将为无线节点创建自适应结构的方法提供洞见。特别是，我们的目标是研究天线和自适应滤波器作为构建鲁棒性的方法的作用。最后，我们的目标是根据实际应用来检验我们的模型，例如在监测大面积安全、安保或监测空气和水的质量时遇到的情况。

There are many emerging wireless concepts and applications, where radio nodes of different sizes and capabilities are deployed under variable conditions. Also, the fast growth in the number of wireless systems deployed in a city or along a road will create an unpredictable interference environment. Since many of the new applications envisage using miniature radio devices with one or multiple antennas, it is important to develop new concepts that allow such devices to function with reasonable reliability under a wide range of conditions. The key is to build into the node enough flexibility in order to be able to adapt its communication parameters to the surrounding environment. The proposed research focuses on four aspects of ad-hoc wireless communications. The first aspect is to model and characterize the pathloss and scattering properties of randomly deployed radios in a realistic way. We plan to measure the signal strength and power delay profiles of the channels under different conditions. The second aspect is to characterize the relation between the transmission bandwidth, the propagation environment. Distance and density of deployment, data transfer capability and the life time of the node. The third aspect is to design, simulate and test new concepts that allow a small node to adapt to its environment in order to maintain reliable communications. The fourth aspect is to propose innovative methodologies to enhance the reliability of and health of the network. Measurement-based propagation modelling will provide an insight into ways to create an adaptive structure for the wireless node. In particular, we are aiming at examining the role of antennas and adaptive filters as ways to build robustness. Finally, we aim to examine our models against real-life applications such as the conditions encountered in monitoring large areas for safety, security or for monitoring the quality of air and water.