Journal Information

ANALYSIS OF AIR QUALITY INDEX OBTAINED VIA REMOTE SENSING FOR LAGOS STATE URBAN AREA, NIGERIA
L.A. AKINYEMI, A.A. PERIOLA, O.O. SHOEWU, A.A. ALONGE, K.A OGUDO
ETRJ. Vol. 3(1), 16 March, 2018
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Abstract: 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 the design of an 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 thereby impairing economic growth. It is important to reduce the effect of air pollution. This can be achieved by using WSN nodes to monitor air pollution. WSN nodes deployed around the city and along traffic routes can be used to achieve this objective. This paper proposes the design of WSN network for monitoring air pollution. In this paper, the stationary sensor nodes are deployed around the city to acquire pollution data. The data acquired by stationary sensor nodes is transmitted to mobile nodes located on vehicles. The received data is processed when mobile nodes reach a pollution monitoring system. 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) technology.