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Cost Effective Smart System for Water Pollution Control with Underwater Wireless Sensor Networks: A Simulation Study

by Muhammed Enes Bayrakdar

Duzce University, Computer Engineering Department, Duzce, Turkey

* Corresponding Author: email

Computer Systems Science and Engineering 2020, 35(4), 283-292. https://doi.org/10.32604/csse.2020.35.283

Abstract

The underwater sensor network is a rapidly developing area of research with a wide range of applications such as data collection in the ocean, pollution monitoring, and ocean sampling. One of the most researched areas is the coverage of underwater sensor networks, which are the basis of many applications. The coverage is usually related to how effectively a network is monitored by the sensor. There are major problems in the ocean or marine region, especially in water pollution. Underwater pollution generally causes acidification, plastic residues, and toxins. Today, the determination of this pollution is carried out through a human surveillance monitoring process. Therefore, there is a need for an automatic and intelligent monitoring system to identify the formation of pollution. The proposed simulation model defines the intelligent sensor-based monitoring system that identifies and alarms the formation of underwater pollution. Aloha was chosen as the medium access protocol for the cost-effective system in which we designed the simulation model. The efficiency of the system has been shown to be more stable, cost-effective and manageable than the monitoring process involving the existing human surveillance by testing with the simulation model.

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APA Style
Enes Bayrakdar, M. (2020). Cost effective smart system for water pollution control with underwater wireless sensor networks: A simulation study. Computer Systems Science and Engineering, 35(4), 283-292. https://doi.org/10.32604/csse.2020.35.283
Vancouver Style
Enes Bayrakdar M. Cost effective smart system for water pollution control with underwater wireless sensor networks: A simulation study. Comput Syst Sci Eng. 2020;35(4):283-292 https://doi.org/10.32604/csse.2020.35.283
IEEE Style
M. Enes Bayrakdar, “Cost Effective Smart System for Water Pollution Control with Underwater Wireless Sensor Networks: A Simulation Study,” Comput. Syst. Sci. Eng., vol. 35, no. 4, pp. 283-292, 2020. https://doi.org/10.32604/csse.2020.35.283

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cc Copyright © 2020 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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