A high performance, low power computational platform for complex sensing operations in smart cities. (April 2017)

• Record Type: Journal Article
• Authors: Jiang, Jiming; Claudel, Christian
• Is Part Of: HardwareX. Volume 1(2017)
• Page Start: 22
• Page End: 37
• Publication Date: 2017-04
• Subjects: Wireless sensor network -- Embedded system -- Artificial Neural Networks; Scientific apparatus and instruments -- Periodicals; Laboratories -- Equipment and supplies -- Periodicals; Laboratories -- Equipment and supplies; Scientific apparatus and instruments; Periodicals; Electronic journals; 681
• DOI: 10.1016/j.ohx.2017.01.001
• Languages: English
• ISSNs: 2468-0672

Abstract

Abstract: This paper presents a new wireless platform designed for an integrated traffic/flash flood monitoring system. The sensor platform is built around a 32-bitARM Cortex M4 microcontroller and a 2.4 GHz 802.15.4 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 fromhttps://osf.io/fuyqd/ . The hardware design is under CERN Open Hardware License v1.2.