A Wireless Sensor Network Air Pollution Monitoring System

By K. Khedo, Rajiv Perseedoss, A. Mungur. arXiv.org, 2010

343 citations recorded by the source corpus.

Sensor networks are currently an active research area mainly due to the potential of their applications. In this paper we investigate the use of Wireless Sensor Networks (WSN) for air pollution monitoring in Mauritius. With the fast growing industrial activities on the island, the problem of air pollution is becoming a major concern for the health of the population. We proposed an innovative system named Wireless Sensor Network Air Pollution Monitoring System (WAPMS) to monitor air pollution in Mauritius through the use of wireless sensors deployed in huge numbers around the island. The proposed system makes use of an Air Quality Index (AQI) which is presently not available in Mauritius. In order to improve the efficiency of WAPMS, we have designed and implemented a new data aggregation algorithm named Recursive Converging Quartiles (RCQ). The algorithm is used to merge data to eliminate duplicates, filter out invalid readings and summarise them into a simpler form which significantly reduce the amount of data to be transmitted to the sink and thus saving energy. For better power management we used a hierarchical routing protocol in WAPMS and caused the motes to sleep during idle time.

Subfields: Computer Networks and Communications, Environmental Engineering

View Paper: https://www.semanticscholar.org/paper/1778d3f010f70d30455cd3cf3d9928aec5f3864f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Frans Adriaan Oliehoek
2. Sherali Zeadally
3. Kofi Sarpong Adu-Manu
4. Abdelmadjid Bouabdallah
5. Wendi Rabiner Heinzelman
6. Cristiano Tapparello
7. Yacine Challal
8. Ernesto Exposito

In Environmental Engineering

1. Abdelmadjid Bouabdallah
2. Yacine Challal
3. Frans Adriaan Oliehoek
4. Tifenn Rault

Citations in the corpus

• Energy-Harvesting Wireless Sensor Networks (EH-WSNs) (2018, background): “WSNs have gained increasing popularity for a range of applications, such as environmental monitoring (Khedo et al. 2010; Bhattacharya et al. 2012; Postolache et al. 2014; Adamo et al. 2015), animal tracking (Szewczyk et al.”
• A Survey of Wireless Sensor Network Based Air Pollution Monitoring Systems (2015, background): “11 a/b/g) Solid-state (CO2, NO, O3) Power line None Linux based embedded PC (266 MHz/128 MB/1 GB) In [104] Not mentioned Not mentioned Not mentioned Not mentioned Not mentioned Not mentioned In [102] Streetlight pole ZigBee + Cellular network (GSM) Solid-state (CO) Battery None Octopus II (1 MHz/10 ”
• A Concise Introduction to Decentralized POMDPs (2016, background): “For instance, one could think about sensor networks used for air pollution monitoring [Khedo et al., 2010], gas leak detection [Pavlin et al., 2010], tracking people in office environments [Zajdel et al., 2006, Satsangi et al., 2015] or tracking of wildlife [Garcia-Sanchez et al., 2010].”
• Energy efficiency in wireless sensor networks: A top-down survey (2014, background): “The use of WSNs for diverse environmental monitoring applications has been studied for coastline erosion [38], air quality monitoring [39], safe drinking water and contamination control [40].”
• Enabling Technologies for Green Internet of Things (2017, background): “, of an industrial plant [46], [47] to improve energy efficiency.”