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Erschienen in:
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2020 | OriginalPaper | Buchkapitel

65. Dynamic Traffic Light Scheduling for Emergency Vehicles Using Fog Computing

verfasst von : S. Sarathambekai, T. Vairam, A. Dharani

Erschienen in: Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications

Verlag: Springer International Publishing

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Abstract

This chapter presents a dynamic traffic light scheduling system, which schedules the time of the traffic light controller on each side. Each emergency vehicle is assigned with priority and it has a unique identity (ID) by default. The unique ID and the priority are used to process the request from each vehicle. In the case of priority, conflict distance is considered for scheduling. Various technologies like ZigBee, LoRaWAN are used to provide cost-effective solutions. ZigBee is one of the high-level communication protocol in IEEE 802.15.4. It works at low power, and it has low data rate. ZigBee has a range of 10–100 meters with line of sight communication. The rate of data transmission in ZigBee is 250 kb/s.

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Vorheriges Kapitel Vaguely Node Classification Scheme for Wireless Networks to Design an Intrusion Detection System
Nächstes Kapitel Cloud Database – A Technical Review
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Metadaten
Titel
Dynamic Traffic Light Scheduling for Emergency Vehicles Using Fog Computing
verfasst von
S. Sarathambekai
T. Vairam
A. Dharani
Copyright-Jahr
2020
Buch
Proceedings of International Conference on Artificial Intelligence, Smart Grid and Smart City Applications

Print ISBN: 978-3-030-24050-9

Electronic ISBN: 978-3-030-24051-6

Copyright-Jahr: 2020

DOI
https://doi.org/10.1007/978-3-030-24051-6_65