Urban Design, Vol. 1, Issue 2, Sep  2018, Pages 48-54; DOI: 10.31058/j.ud.2018.12005 10.31058/j.ud.2018.12005

Smart City and Vehicle Pollution Monitoring Using Wireless Network System

, Vol. 1, Issue 2, Sep  2018, Pages 48-54.

DOI: 10.31058/j.ud.2018.12005

Lateef Adesola Akinyemi 1,2 , Tunji Makanjuola 2 , Oluwagbemiga Shoewu 2* , Comfort Oluwaseyi Folorunso 3

1 Department of Electrical Engineering, University of Cape Town, Cape Town, South Africa

2 Department of Electronic and Computer Engineering, Lagos State University, Lagos, Nigeria

3 Department of Systems Engineering, University of Lagos, Lagos, Nigeria

Received: 25 October 2018; Accepted: 15 November 2018; Published: 23 November 2018

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Advancements in the field of communications are moving towards the internet of things (IoTs). Wireless Sensor Networks (WSN) can be used to monitor environmental conditions such as pollution using independent sensors communicating with each other using the IoTs technology thereby leading to a more accurate environmental monitoring system. Air pollution is a critical environmental challenge which is a major concern in cities and will have to be reduced if cities are to be regarded as smart cities. It has negative short and long term effects on human health that would deter people from moving to cities which would ultimately prevent economic growth. Therefore, the air pollution around the city and along traffic routes could be monitored using WSN nodes. In this work, the stationary nodes around the city would be deployed periodically to collect pollution data from sensors at the node. These data would be stored locally in its memory with a time and location stamp. Mobile nodes placed on public buses, buildings and vehicles would wirelessly collect the data as they pass by the stationary nodes. The data would then be processed once the nodes arrived back at the pollution monitoring system. In the proposed architecture, the stationary nodes run on ZigBee standard while the mobile nodes run on fifth generation (5G) and Long-time evolution (LTE).


Smart City, WSN, Cloud, Pollution, 5G


© 2017 by the authors. Licensee International Technology and Science Press Limited. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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