Optimizing the Internet of Things (IOT)

物联网(IoT)生态系统可以被视为智能对象的网络，这些智能对象收集数据并相互通信，以控制我们周围的实体。物联网的成功依赖于底层网络的性能，底层网络由传感器、射频识别等智能对象组成 (RFID)标签和读取器、智能电表、关键的物联网参与者。在过去十年中，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几项研究。然而，由于物联网的广泛性质，新的挑战即将出现，其中一些将 在这项研究计划中提到的。将产生新的理论结果，并考虑到一系列的应用。在接下来的五年里，共有六名研究生和五名本科生将接受这笔赠款的培训，这将提高加拿大的研究能力。这一研究项目的成果将为政府和工业界提供优秀的解决方案，并将有助于发展学术界和工业界之间的密切研究合作。研究结果将在主要的参考期刊上传播，并在该领域的国际会议上发表。

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.