IoT Underwater Wireless Sensor Network Monitoring

2021 ◽  
pp. 38-58
Author(s):  
Low Tang Jung
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Promising Solution ◽  
Clean Drinking Water ◽  
Life On Earth

Water is a crucial resource for all life on earth, and it is fast becoming one of the limited natural resources to humankind, especially clean drinking water and water for agricultural uses. Sensor technologies and wireless communications (both terrestrial and underwater) have been seriously investigated by researchers to find ways to integrate these technologies for a novel data-sensing and data-collecting network for long-term water pollution monitoring purposes. This chapter describes an IoT-based underwater wireless sensor network (UWSN) which is believed to have a huge potential for monitoring the health of river, lake, reservoir, and marine environment. The sensed data from IoT sensors are communicated wirelessly via acoustic channels to a data collection center for further processing and interpretation. It is foreseeing that judicious deployment of IoT-based UWSN is a promising solution for long-term water quality surveillance.

Research on Water Pollution Monitoring System

2013 ◽  
Vol 340 ◽  
pp. 929-932
Author(s):  
Huo You Li ◽  
Shao Jie Chen
Keyword(s):  
Water Pollution ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Sensor Node ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Network System ◽  
Network Node ◽  
Good Communication ◽  
Self Organized

The low-consuming wireless sensor network is becoming more and more popular; this essay drafts a proposal for wireless sensor network system design. The proposal describes detailed hardware and software designs of sensor node. With a feature of self-organized and self-adaptive, the system remains keep good communication even the location of network node changes. This system is applicable to synchronized monitoring on water pollution in rivers, lakes, springs and oceans.

scholarly journals Investigating Master–Slave Architecture for Underwater Wireless Sensor Network

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3000
Author(s):  
Sadeeq Jan ◽  
Eiad Yafi ◽  
Abdul Hafeez ◽  
Hamza Waheed Khatana ◽  
Sajid Hussain ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Propagation Delay ◽  
Data Packet ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Term Survival ◽  
Limited Bandwidth ◽  
Delay Tolerant

A significant increase has been observed in the use of Underwater Wireless Sensor Networks (UWSNs) over the last few decades. However, there exist several associated challenges with UWSNs, mainly due to the nodes’ mobility, increased propagation delay, limited bandwidth, packet duplication, void holes, and Doppler/multi-path effects. To address these challenges, we propose a protocol named “An Efficient Routing Protocol based on Master–Slave Architecture for Underwater Wireless Sensor Network (ERPMSA-UWSN)” that significantly contributes to optimizing energy consumption and data packet’s long-term survival. We adopt an innovative approach based on the master–slave architecture, which results in limiting the forwarders of the data packet by restricting the transmission through master nodes only. In this protocol, we suppress nodes from data packet reception except the master nodes. We perform extensive simulation and demonstrate that our proposed protocol is delay-tolerant and energy-efficient. We achieve an improvement of 13% on energy tax and 4.8% on Packet Delivery Ratio (PDR), over the state-of-the-art protocol.

Testbed Implementation of a Pollution Monitoring System Using Wireless Sensor Network for the Protection of Public Spaces

2009 ◽  
Vol 5 (4) ◽  
pp. 16-32 ◽  
Author(s):  
Siuli Roy ◽  
Anurag D ◽  
Somprakash Bandyopadhyay
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Power Plants ◽  
Large Scale ◽  
Real Life ◽  
Public Spaces ◽  
Pollution Monitoring ◽  
Wireless Sensor ◽  
Simulation Tools ◽  
Consumption Rates

Air pollution is an important environmental issue that has a direct effect on human health and ecological balance. Factories, power plants, vehicles, windblown dust and wildfires are some of the contributors of to pollution. Reasonable simulation tools exist for evaluating large scale sensor networks, ; however, they fail to capture significant details of node operation or practical aspects of wireless communication. Real life testbeds, capture the realism and bring out important aspects for further research. In this paper, we present an implementation of a wireless sensor network testbed for automatic and real-time monitoring of environmental pollution for the protection of public spaces. The paper describes the physical setup, the sensor node hardware and software architecture for “anytime, anywhere” monitoring and management of pollution data through a single, Web-based graphical user interface. The paper presents practical issues in the integration of sensors, actual power consumption rates and develops a practical hierarchical routing methodology.

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