Cognitive Radio Networks with Wireless Sensor Applications

具有无线传感器应用的认知无线电网络

• 批准号: RGPIN-2016-04038
• 负责人: Fernando, Xavier
• 金额: $ 2.62万
• 依托单位: Ryerson University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=686550
• 关键词: Cognitive; Radio; Networks; Wireless; Sensor

**Wireless sensor networks (WSNs), part of the fast*emerging Internet of Things will be playing vital role in transforming our*lives. Potentially huge number of these sensors will soon be deployed to*perform simple to complex tasks such as automatically controlling heat and*light in smart homes to guiding autonomous vehicles and missiles. Finding*adequate radio spectrum of these potentially numerous wireless sensors is a*major issue. While Industry Canada is struggling to allocate more frequency*bands, up to mm wave bands, many researchers' experimental studies show that*already allocated spectrum is typically underused by 25-30%. *** ***Cognitive radio (CR) networks are a new form of*intelligent wireless network where, the cognitive (secondary) users are*configured to coexist with licensed (primary) users without causing harmful*electromagnetic interference to them by opportunistic spectrum access. There*are a few steps in the successful implementation of a CR cycle. Namely,*spectrum awareness (achieved through sensing various spectrum parameters and*spectrum occupancy), analysis and decision making based on the observation, and*spectrum exploitation (adaptation). These basic functions need to be carried*out repeatedly in a cognitive radio network.*** ***Another challenge in WSN is providing energy.*Battery management and maintenance of these sensors can be a prohibitively*expensive exercise because of their abundance. Sensors' performance will*deteriorate with the remaining energy level and dead sensor nodes will affect*the performance of an entire network, especially in multi-hop networks.*Improper battery disposal will also cause environmental pollution and health*hazardous in the long run. *** ***The energy issue can be alleviated by energy*harvesting. The ambience has energy in the forms of light, heat, mechanical*vibrations and electromagnetic radiations. Especially, cognitive WSN can harvest*energy from the primary network. This energy has to be collected with*appropriate transducers, stored reliably and used for wireless data*transmission w

**无线传感器网络（WSN）是快速*新兴的物联网的一部分，将在改变我们*的生活中发挥至关重要的作用。可能很快就会部署大量此类传感器来执行简单到复杂的任务，例如自动控制智能家居中的热量和光线以引导自动驾驶车辆和导弹。为这些潜在的众多无线传感器找到*足够的无线电频谱是一个主要问题。虽然加拿大工业部正在努力分配更多频段（最高可达毫米波段），但许多研究人员的实验研究表明，*已分配的频谱通常未得到充分利用，达 25-30%。 *** ***认知无线电（CR）网络是一种新形式的*智能无线网络，其中认知（次要）用户*配置为与许可（主要）用户共存，而不会通过机会主义对他们造成有害*电磁干扰频谱接入。成功实施 CR 周期有几个步骤。即*频谱感知（通过感知各种频谱参数和*频谱占用来实现）、基于观察的分析和决策以及*频谱利用（适应）。这些基本功能需要在认知无线电网络中重复执行。*** ***无线传感器网络的另一个挑战是提供能量。*这些传感器的电池管理和维护可能是一项非常昂贵的工作，因为它们的数量充足。传感器的性能将随着剩余能量水平而恶化，而失效的传感器节点将影响整个网络的性能，尤其是在多跳网络中。从长远来看，电池处理不当还会造成环境污染和健康危害。 *** ***能源问题可以通过能量*收集来缓解。环境具有光、热、机械振动和电磁辐射形式的能量。特别是，认知无线传感器网络可以从主网络获取能量。该能量必须用适当的传感器收集、可靠存储并用于无线数据传输