Optimizing the Internet of Things (IOT)

优化物联网 (IOT)

• 批准号: RGPIN-2018-06276
• 负责人: Choudhury, Salimur
• 金额: $ 1.68万
• 依托单位: Lakehead University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=713626
• 关键词: Optimizing; Internet; Things; IOT

The Internet of Things (IoT) ecosystem can be viewed as a network of smart objects that gather data and communicate with each other to control the entities around us. The success of IoT depends on the performance of the underlying network, which consists of such smart objects as sensors, Radio Frequency Identification (RFID) tags and readers, smart meters, the key IoT players. Several studies have been undertaken in the last decade in the area of algorithmic issues related to sensor deployment; topology control; load balancing, etc. However, due to the widespread nature of IoT, new challenges are on the horizon, some of which will be addressed in this research program. New theoretical results will be generated with a range of applications in mind. Total six graduate and five undergraduate students will be trained with this grant over the next five years which will improve Canada's research capacity. The results of this research program will provide elegant solutions for various government and industrial sectors and will help develop close research collaborations between academia and industry. The research findings will be disseminated in leading refereed journals and presented at international conferences of the field.

物联网（IoT）生态系统可以被视为一个智能对象网络，这些对象收集数据并相互通信，以控制我们周围的实体。物联网的成功取决于底层网络的性能，底层网络由传感器、无线射频识别和智能对象等组成。 （RFID）标签和阅读器、智能电表、物联网的关键参与者。在过去的十年中，在与传感器部署、拓扑控制、负载平衡等相关的算法问题领域进行了一些研究。然而，由于物联网的广泛性，新的挑战即将到来，其中一些将是 在这项研究计划中。新的理论结果将产生一系列的应用。在今后五年内，共有六名研究生和五名本科生将利用这笔赠款接受培训，这将提高加拿大的研究能力。该研究计划的成果将为政府和工业部门提供优雅的解决方案，并将有助于学术界和工业界之间建立密切的研究合作。 研究结果将在主要的权威期刊上传播，并在该领域的国际会议上发表。