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Wireless Sensor Networks for Smart Cities

Wireless Sensor Networks for Smart Cities
智慧城市无线传感器网络
批准号:
RGPIN-2016-04007
负责人:
Spachos, Petros
金额:
$2.26万
依托单位:
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
项目状态:
已结题
起止时间:
2020-01-01 至 2021-12-31

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中文摘要
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英文摘要
Every day more computer-based devices are connected to the internet. Most of these devices have at least one sensing unit, creating opportunities for direct integration between the physical world and computer-based systems. This is the idea behind Internet of Things (IoT) and Smart Cities - a development of the Internet in which everyday objects have network connectivity, allowing them to send and receive data. Imagine a city where the street lights follows the traffic requirements in real-time and the air pollution form factories and cars is controlled with the use of data coming from tiny, cheap and energy efficient sensors. In the near future, Wireless Sensor Networks (WSNs) are expected to be integrated into the IoT and consequently to smart cities. The sensing infrastructures have a major role in smart environment and great research opportunities. Sensor nodes can join the Internet dynamically and use it to collaborate and accomplish their tasks. The future Internet, designed as an IoT is foreseen to be a world-wide network of interconnected objects uniquely addressable, based on standard communication protocols. Sensors will have a crucial role in smart cities. Green cities, which span from urban wildlife initiatives to city agriculture and green transport networks, citizen sensing and smart cities projects are emerging that attempt to realize improved sustainability through greater urban connectivity. At the same time, the sensor node market continues to grow rapidly, as the cost to build custom nodes decreases due to technology scaling. Moreover, the use of embedded sensors in smartphones, phablets, tablets and mobile devices has enabled a number of popular applications. Advances in technology, engineering, and materials science have opened the door for increasingly sophisticated sensors and sensor integration to be used in environmental and urban monitoring research. Beyond improving sensor integration, the concept of sensor in smart cities opens the door to as yet unexplored applications that cannot be conceived using specific/ devoted hardware, especially in the field of mobile devices. A flexible embedded sensor framework can be programmed and re-programmed in real-time, based on application needs, a unique characteristic that can be exploited for varied purposes, including improving application speed, power and cost. However, the security challenges of this new research area should be examined as well. I propose a research program to comfort these gaps and challenges through the development of a general framework for smart cities, starting from smart buildings. My long-term objective is to develop a multi-sensor dynamic system framework for energy efficient and secure components of the smart cities, through interdisciplinary collaborations in academia and industry. Also, I will train high- quality personnel who can satiate industry's growing demand for network engineers.
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Wireless Sensor Networks for Smart Cities
  • 批准号:
    RGPIN-2016-04007
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2022
  • 负责人:
    Spachos, Petros
  • 依托单位:
Wireless Sensor Networks for Smart Cities
  • 批准号:
    RGPIN-2016-04007
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2021
  • 负责人:
    Spachos, Petros
  • 依托单位:
Coronavirus Contact Tracing using Bluetooth Low Energy and Smartphones
  • 批准号:
    552130-2020
  • 项目类别:
    Alliance Grants
  • 资助金额:
    $3.64万
  • 财政年份:
    2020
  • 负责人:
    Spachos, Petros
  • 依托单位:
Wireless Sensor Networks for Smart Cities
  • 批准号:
    RGPIN-2016-04007
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.26万
  • 财政年份:
    2019
  • 负责人:
    Spachos, Petros
  • 依托单位:
国内基金
海外基金
人类NADPH sensor蛋白HSCARG调控机制研究
  • 批准号:
    30930020
  • 项目类别:
    重点项目
  • 资助金额:
    170.0万元
  • 批准年份:
    2009
  • 负责人:
    郑晓峰
  • 依托单位:
基于sensor agent的营养液组分动态测量与建模研究
  • 批准号:
    60775014
  • 项目类别:
    面上项目
  • 资助金额:
    28.0万元
  • 批准年份:
    2007
  • 负责人:
    陈锋
  • 依托单位: