Design and performance evaluation of aquatic-pollution monitoring scheme over a Waterborne Wireless Sensor Network

Chen, Ming-Che; Chang, Wang-Rong; Lin, Hui-Tang; Lee, Hong-Hsiung

doi:10.1016/j.comcom.2013.12.007

Cited by 11 publications

(6 citation statements)

References 24 publications

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“…WSNs can monitor environmental information such as gas concentration, carbon monoxide concentration, downhole temperature and humidity in mines, and realize early warning of mine safety accidents, etc [6]. Compared with wired sensor networks, WSNs have the advantages of low cost, small node size, flexible deployment, ad hoc networking, and easy maintenance, and have been widely used in military, medical, agricultural and other fields [7], [8], [9]. The introduction of WSNs into the underground safety monitoring system can effectively solve the defects of the wired network system, improve the monitoring level, and lay the foundation for the future smart mine construction [10], [11].…”

Section: Introductionmentioning

confidence: 99%

Optimal Data Routing Algorithm for Mine WSNs Based on Maximum Life Cycle

Zhou

Huang

2020

IEEE Access

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Coal mine shafts are narrow, the environment is complex and changeable, the wired monitoring system has poor scalability, complicated wiring, and high costs and maintenance costs. The use of Wireless Sensor Networks (WSNs) can effectively solve the defects of the wired system and improve the monitoring level. Node energy is the most valuable resource for WSNs deployed in the complex environment of coal mines. Due to the limited energy of sensor nodes, how to balance the energy consumption, extend the network lifetime and pursue the maximum resource utilization are the hot issues in WSNs research. Underground coal mines have narrow and long lanes, and WSNs are distributed in strips. Therefore, based on the existing research, this paper proposes that when sensor nodes are evenly deployed in narrow and narrow lanes, the node's forwarded data volume and forwarded routing are dynamically adjusted to make nodes Energy consumption is balanced and network life cycle is maximized. The experimental simulation proves that the algorithm proposed in this paper is superior to other algorithms. INDEX TERMS Energy consumption balance, WSNs, data forwarding, best route.

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Section: Introductionmentioning

confidence: 99%

Optimal Data Routing Algorithm for Mine WSNs Based on Maximum Life Cycle

Zhou

Huang

2020

IEEE Access

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“…More recently, Wireless Sensor Network (WSN) (Costa et al, 2014) emerges as the adequate technology to monitor any kind of pipelines under any environment and domain due to its intelligent sensors having several features such as the real-time monitoring, the autonomous control, the secure, the quick routing and so on (Akyildiz et al, 2002;Yick et al, 2008). The WSN widespread deployment is shown by its frequent use in different applications and domains such as agriculture (Rehman et al, 2014;Zhang et al, 2013a;Srbinovska et al, 2015;Simbeye et al, 2014;Haule and Michael, 2014;Roy et al, 2015), industry (Gisbert et al, 2014;Allan, 2013;Giménez et al, 2013;Arthi et al, 2013), environment (Ganiyu et al, 2014;Khatua and Misra, 2014;Chen et al, 2014), security (Ghosal and DasBit, 2014;Astorga et al, 2013;Fayed et al, 2012) and more others. In the same context, many WSN-PMS were proposed for different pipeline environments such as underground (Wu et al, 2014;Mustafa and Chou, 2012;Qiao et al, 2016), underwater (Mohamed et al, 2010;Baojun et al, 2014;Zheng et al, 2013;Mahmood et al, 2014) or above ground (Rashid et al, 2014a;Almazyad et al, 2014) and for different materials (gases [Anupama et al, 2014], liquids [water, oil;Anupama et al, 2014;Yoon et al, 2011] and fluidised solids).…”

Section: Introductionmentioning

confidence: 99%

An investigation on wireless sensor networks pipeline monitoring system

Abdelhafidh

Fourati

et al. 2018

IJWMC

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The Pipeline Monitoring Systems (PMS) have been appeared as an interesting research area that should be deeply studied. Accordingly, the pipelines in industrial and critical domains must be permanently supervised to guarantee their continuous functionality and to offer a comprehensive fluid distribution system. Wireless Sensor Network (WSN) technology is the most suitable technique to detect and to localise anomalies in pipelines. This is enabled by the intelligent sensors that establish an efficient pipeline data collection and streaming and the realtime system reaction in case of failure detection. In this survey, we give a holistic view of WSN-PMS based on recent state of the art. We present the taxonomy for WSN-PMS in which we detail their specifications and address their challenges to enhance their real deployment. We review the different WSN-based pipeline leak detection methods and discuss their accuracy and effectiveness level to give depth knowledge on WSN-PMS.

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“…For example in (Chen et al, 2014) the immobile nodes just give an approximated idea of there is the pollution but is impossible to have detailed information about its size or exact position. Moreover, the limited number of nodes and their fixed position can easily lose the pollutions if the ocean currents move the pollutions out of the sensors area.…”

Section: Introductionmentioning

confidence: 99%

“…Different sensors and systems have been developed for hydrocarbon detection as (Denkilkian et al, 2009) and(O'Connell et al, 2011). In recent years, several authors have presented different solution and specific protocols to detect spills and water pollution (Chen et al, 2014), (Harchi et al, 2012). However, current systems do not still have high accuracy and fast location.…”

Section: Introductionmentioning

confidence: 99%

“…No one of the related work presented has any smart protocols; the majority of them have cluster architecture while our proposal has different architectures. Finally, of all the related work just two of them (Chen et al, 2014) and (Harchi et al, 2012) are deployed when the pollution is detected the other (Alkandari et al, 2011), (Rasin et al 2009), and (Yue and. Ying, 2011) are left to monitoring a specific area.…”

Section: Introductionmentioning

confidence: 99%

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Study of requirements and design of sensors for monitoring water quality and feeding process in fish farms and other environments

Boronat¹

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There are many efforts done in the aquaculture to reach its sustainability, although in reality, it is far from being sustainable. Its negative impacts on the environment can be prevented and corrected by the use of sensors, developing precision aquaculture. The water quality affects to the fish performance. The temperature and salinity are some factors that affect to the fish growth. Nevertheless, other factors such as turbidity, photoperiod and dissolved oxygen among other can affect to the fish feeding needs. To adjust the amount of feed needed is crucial to ensure the sustainability of the aquaculture and to increase the economic profit of the facilities. Monitoring the water quality allows estimating the feed needs. However, it is not enough. To monitor the fish behavior, especially during the feeding period can help to adapt the provided feed. Then, if it is so clear that the monitoring can help to the aquaculture production, why we do not see this monitoring systems in the aquaculture facilities? Why in most of the facilities the feed is given manually without considering the fish feeding behavior?Nevertheless, the current price of the sensors for monitoring the fish farms is extremely high. The employed sensors are in most of the cases, the same that are used for oceanography. The proposed systems in the literature only cover some water quality parameters and usually do not consider fish feeding behavior. It is need low-cost sensors suitable for aquaculture monitoring. Those sensors must also be low-energy consumption, easy to use and with the option to include them in a network in order to send the data. Thus, we can use these sensors and sensors network to monitor the activity, to send alarms if it is necessary and to automatize processes. Moreover, including Internet, the data can be seen remotely. The use of those sensors can help to the aquaculture production.In this thesis, we show the study of requirements and design of sensors for monitoring water quality and feeding process in fish farms and other environments. First, we study in detail the requirements of sensors in aquaculture. Then, we show the state of the art of the current sensors for water quality monitoring and for aquaculture monitoring.Following, we present the design and development of some low-cost sensors and their applications in fish farm facilities with open system and recirculating system. Moreover we show a complete system which monitors up to 10 parameters including water quality (temperature, salinity, turbidity and presence of hydrocarbon/oil layer), tank environment (water level, illumination, presence of workers), and fish feeding behavior (shoal swimming depth, estimation of changes on shoal swimming velocity and feed falling). Moreover, it accomplishes the features of low-cost and low energy consumption. The estimated price for proposed system is less than 100€ per tank. In addition, we show the use of some of the aforementioned sensors for automatic adjustment of fish feeding process.Finally, some of the develop...

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Design and performance evaluation of aquatic-pollution monitoring scheme over a Waterborne Wireless Sensor Network

Cited by 11 publications

References 24 publications

Optimal Data Routing Algorithm for Mine WSNs Based on Maximum Life Cycle

Optimal Data Routing Algorithm for Mine WSNs Based on Maximum Life Cycle

An investigation on wireless sensor networks pipeline monitoring system

Study of requirements and design of sensors for monitoring water quality and feeding process in fish farms and other environments

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