Monitoring of air pollution to establish optimal less polluted path by utilizing wireless sensor network
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02232-3.pdf
Reference23 articles.
1. Abraham S, Li X (2016) Design of a low-cost wireless indoor air quality sensor network system. Int J Wirel Inf Netw 23(1):57–65
2. Agarwal L, Dixit G, Jain AK, Pandey KK, Khare A (2016) Energy efficient pollution monitoring system using deterministic wireless sensor networks. In: Proceedings of the International congress on information and communication technology, pp 301–309
3. Bao L, Wang H (2017) Distributed real-time monitoring system for atmospheric particles. IET Wirel Sensor Syst 7(4):91–97
4. Barcelo-Ordinas JM, Garcia-Vidal J, Doudou M, Rodrigo-Muñoz S, Cerezo-Llavero A (2018) Calibrating low-cost air quality sensors using multiple arrays of sensors. In: IEEE wireless communications and networking conference (WCNC), pp 1–6
5. Belkhiri A, Bechkit W, Rivano H, Koudil M (2018) Context aware MWSN optimal redeployment strategies for air pollution timely monitoring. In: IEEE international conference on communications (ICC), pp 1–7
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