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: 2018
• 资助国家: 加拿大
• 起止时间: 2018-01-01 至 2019-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=650667
• 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 which is typically bursty. The sporadic and unreliable nature of*the energy harvesting process as well as characteristics of electronic elements*has to be appropriately modeled to design viable energy harvesting WSN. *** ***When the spectrum stealing CR functionality is*added to the energy harvesting wireless sensors, the research problem is very*challenging. However, it is essential to investigate this scenario due to the*pressing necessity. In addition, traditional requirements of wireless*communication such as appropriate quality of service, meeting latency,*throughput, fairness and reliability still have to be met by future cognitive*energy harvesting wireless sensor network. The proposed research program will*focus on this direction, investigating pressing issues in cognitive wireless*sensor networks and finding novel solutions. *** *** *** *** *** *** ******

**无线传感器网络（WSNS），快速*新兴互联网的一部分将在改变我们的生活中起着至关重要的作用。这些传感器中可能会很快被部署到*执行简单至复杂的任务，例如自动控制智能家居中的热量和*光，以指导自动驾驶汽车和导弹。找到这些潜在众多无线传感器的足够无线电谱是*主要问题。尽管加拿大工业界正在努力分配更多的频率*频段，但最多是MM波频段，但许多研究人员的实验研究表明，*已经分配的频谱通常不足25-30％。 *** ***认知无线电（CR）网络是*智能无线网络的一种新形式，在该网络中，认知（次要）用户*配置为与许可（主要）用户共存而不会引起有害的*电磁干扰，以通过机会性地进行电磁干扰频谱访问。 *成功实施CR周期有几个步骤。即，*频谱意识（通过传感各种频谱参数和*频谱占用率实现），基于观察结果的分析和决策制定以及*频谱开发（适应）。这些基本功能需要在认知无线网络中反复执行*。*** *** WSN中的另一个挑战是提供能量。*电池管理和维护这些传感器可能是一种非常昂贵的练习，因为它们的丰富性。传感器的性能将*随着剩余的能级而恶化，而死去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。 *** ***能量问题可以通过能源*收获来缓解。氛围具有光，热，机械*振动和电磁辐射的形式。特别是，认知WSN可以从主要网络中收获*能量。该能量必须用*适当的换能器收集，并可靠地存储，并用于无线数据*传输，这通常是突发的。 *能量收集过程的零星和不可靠的性质以及电子元素的特征*必须适当建模，以设计可行的能量收获WSN。 *** ***当弹性窃取CR功能的频谱添加到能源收集无线传感器时，研究问题非常具有挑战性。但是，由于*紧迫的必要性，必须研究这种情况。此外，无线通信的传统要求，例如适当的服务质量，满足延迟，*吞吐量，公平性和可靠性，仍然必须通过未来的认知*能量收获无线传感器网络来满足。拟议的研究计划将*专注于这个方向，研究认知无线*传感器网络中的紧迫问题并找到新颖的解决方案。 *** *** *** *** *** *** ******