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Novel ZigBee-Based Smart Anti-Theft System for Electric Bikes for Vietnam

conference contribution
posted on 2024-11-03, 12:57 authored by Veerandi Maleesha Kulasekara, Pasan Dharmasiri, Thanh PhamThanh Pham, Ilya Kavalchuk
One of the greatest challenges for the personal vehicles owners has become the exposure to the thefts due to the technical limitations, specifically location detection accuracy, of the existing security systems. Modern positioning solutions can provide relatively accurate data, but they are required advanced communication technologies and constant access to the power source, which becomes a challenge for electric transport applications with limited energy resources. The concept of a novel smart anti-theft system, that is designed to enrich the usability of an electric bike and to inform the owner about the vehicle’s location, is presented in this paper. The developed solution herein provides the capability to perform the basic queries to determine the current location of the electric bike using Received Signal Strength Indicator (RSSI) of the Radio Frequency (RF) modules which gives the user ability to track the bike in the indoor and outdoor environments, improving personal security with the reduced power consumption in comparison with the existing technologies. An analysis of the system design along with the network architecture and the implemented approach to determine the location using ZigBee topology are discussed in the paper. Furthermore, a prototype of the system was tested, and the performance is analysed herein.

History

Related Materials

  1. 1.
    DOI - Is published in 10.1109/RIVF48685.2020.9140758
  2. 2.
    ISBN - Is published in 9781728153773 (urn:isbn:9781728153773)

Start page

280

End page

285

Total pages

6

Outlet

Proceedings of the 14th International Conference on Computing and Communication Technologies (RIVF 2020)

Name of conference

RIVF 2020

Publisher

IEEE

Place published

United States

Start date

2020-10-14

End date

2020-10-15

Language

English

Copyright

© 2020 IEEE

Former Identifier

2006100800

Esploro creation date

2020-09-08

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