scholarly journals Measurement performance quality of services (QoS) to optimizing on wireless sensor network topology for water pollution monitoring system

2021 ◽  
Vol 1943 (1) ◽  
pp. 012019
Author(s):  
M I Ghozali ◽  
W H Sugiharto ◽  
H Susanto ◽  
M A Budihardjo ◽  
S Suryono

Workshop contamination can lead to changes in the characteristics of the air. Welding process for example inside the workshop will generate different pollutants just like fume and gases. These gases may threat the environment. Also the direct exposure of these gases by people inside the workshop may be considered as a risk on their health. For all reasons mentioned above air pollution monitoring system is important issue to decrease the risk of low level of health. This paper introduces the implementation of wireless sensor network to monitor a workshop air pollution. The proposed system prototype contains a set of gas sensors (CO, H2, NH3, Butane, Propane, Ethanol and NO2) which are deployed on stack and infrastructure of Wireless sensor Network. These sensors are calibrated using appropriate calibration technologies. They are controlled by ARDUINO based microcontroller. Also there is the main server which Installed on raspberry pi 3 and contains the main database of the system which supports real time management strategies by using the web interface to monitor the air pollution in form of numbers and charts. Sensors which controlled by ARDUINO platform are connected to the server using the wireless technology (Wi-Fi) and the communication is done by using Message Queuing Telemetry Transport protocol (MQTT).When the level of Carbon Monoxide gas is above the threshold the system will send an alert email to the department of the civil defense. The system is checked and tested in the training workshops of University of Technology to measure the levels of harmful gases which may harm the people in the workshops.


Author(s):  
Devashish Gosain ◽  
Itu Snigdh

This paper evaluates and ranks the suitability of routing algorithms for bipartite wireless sensor network topology. The network considered in this paper, consists of an irregular combination of fixed and mobile nodes, which leads to construction of a bipartite graph among them. A wireless sensor network is usually constrained by the energy limitations and processing capabilities. We therefore, consider the important metrics for analysis namely, carried load, energy consumption and the average delay incurred. We present the possibilities of employing the routing algorithms subject to the quality of service required by the wireless sensor networks applications


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