A high performance, low power computational platform for complex sensing operations in smart cities
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ArticleAuthors
Jiang, JimingClaudel, Christian

Date
2017-02-02Online Publication Date
2017-02-02Print Publication Date
2017-04Permanent link to this record
http://hdl.handle.net/10754/622827
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This paper presents a new wireless platform designed for an integrated traffic/flash flood monitoring system. The sensor platform is built around a 32-bit ARM Cortex M4 microcontroller and a 2.4GHz 802.15.4802.15.4 ISM compliant radio module. It can be interfaced with fixed traffic sensors, or receive data from vehicle transponders. This platform is specifically designed for solar-powered, low bandwidth, high computational performance wireless sensor network applications. A self-recovering unit is designed to increase reliability and allow periodic hard resets, an essential requirement for sensor networks. A radio monitoring circuitry is proposed to monitor incoming and outgoing transmissions, simplifying software debugging. We illustrate the performance of this wireless sensor platform on complex problems arising in smart cities, such as traffic flow monitoring, machine-learning-based flash flood monitoring or Kalman-filter based vehicle trajectory estimation. All design files have been uploaded and shared in an open science framework, and can be accessed from [1]. The hardware design is under CERN Open Hardware License v1.2.Citation
Jiang J, Claudel C (2017) A high performance, low power computational platform for complex sensing operations in smart cities. HardwareX. Available: http://dx.doi.org/10.1016/j.ohx.2017.01.001.Publisher
Elsevier BVJournal
HardwareXAdditional Links
http://www.sciencedirect.com/science/article/pii/S2468067216300177ae974a485f413a2113503eed53cd6c53
10.1016/j.ohx.2017.01.001
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Except where otherwise noted, this item's license is described as © 2017. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/