Design and deployment of a smart system for data gathering in aquaculture tanks using wireless sensor networks

Parra, Lorena; Sendra, Sandra; Lloret, Jaime; Rodrigues, Joel J. P. C.

doi:10.1002/dac.3335

Cited by 38 publications

(41 citation statements)

References 39 publications

(66 reference statements)

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“…Because of their unique attributes, their application domain is diverse and they are now ubiquitous components of smart environments. Their diverse application domain covers military, 43,44 surveillance, 45,46 home automation, 47,48 smart city, 49,50 patient health monitoring, [51][52][53] etc. In patient health care monitoring scenarios, WSNs are used in tele-health applications.…”

Section: Role Of Wsn In Industry 40mentioning

confidence: 99%

Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey

Raza

Faheem

Guenes

2019

Int J Communication

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Summary The vision to connect everyday physical objects to the Internet promises to create the Internet of Things (IoT), which is expected to integrate the diverse technologies such as sensors, actuators, radio frequency identification, communication technologies, and Internet protocols. Thus, IoT promises to transfer traditional industry to advance digital industry known as the Industry 4.0. At the core of the Industry 4.0 are the wireless sensor networks (WSNs) and wireless sensor and actuator networks (WSANs) that led to the development of industrial wireless sensor networks (IWSNs) and industrial wireless sensor and actuator networks (IWSANs). These networks play a central role of connecting machines, parts, products, and humans and create a diverse set of new applications to support intelligent and autonomous decision making. The IWSAN is a promising technology for numerous industrial applications because of their several potential benefits such as simple deployment, low cost, less complexity, and mobility support. However, despite such benefits, they impose several unique challenges at different layers of the protocol stack when deploying them for various monitoring and control applications in the Industry 4.0. In this article, we explore IWSAN, its applications, requirements, challenges, and solutions in the context of industrial control applications. Our main focus is on the medium access control (MAC) layer that can be exploited to satisfy such requirements. Our discussion presents extensive background study of the MAC schemes and it reviews the MAC protocols of the existing wireless standards and technologies. A number of application‐specific MAC protocols developed to support industrial applications, which are not part of these standards, are also elaborated. We rationalize to what extent the existing standards and protocols help in solving such requirements as laid down by the Industry 4.0. In the end, we emphasize on existing challenges and present important future directions.

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Section: Role Of Wsn In Industry 40mentioning

confidence: 99%

Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey

Raza

Faheem

Guenes

2019

Int J Communication

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“…To prevent corrosion, the layer and any sensing part that will be in contact with the water must not contain any metallic materials. Therefore, the use of plastics and methacrylate is recommended [7,8]. Waterproof insulation must be ensured.…”

Section: Physical Sensors For Precision Aquaculture: a Reviewmentioning

confidence: 99%

Physical Sensors for Precision Aquaculture: A Review

Parra

Lloret²,

Lloret

et al. 2018

IEEE Sensors J.

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Aquaculture is presented as a sustainable method to provide fish, 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. Sensors are widely used in terrestrial applications, but in underwater environments, their use is constrained by a variety of issues. The aim of this paper is to describe the state-of-art of the underwater sensors for water quality monitoring. First, the requirements and challenges of underwater sensors for aquaculture monitoring are discussed in detail. The main challenges are the need of a waterproof isolation or the need to avoid corrosion and biofouling, among others. Second, there are some advantages compared with terrestrial applications, such as no need of minimized systems or the fact that such systems only require low accuracy. Subsequently, we evaluated the different options available to sense each variable, related to the needs of the aquaculture sensors. For temperature monitoring, thermistors, thermocouples or RTC seem to offer similar advantages. In contrast, for dissolved oxygen monitoring, the optical method seems to be the best option. For turbidity, optical methods are the most employed ones, while for conductivity measurements, the inductive coils are a promising option.

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“…Reference [ 43 ] proposed an efficient routing algorithm for preserving k-coverage and the reliability of data with logical fault tolerance. Otherwise, for the wireless sensor networks or underwater wireless sensor networks, some researchers have focused on distributed database management [ 44 ], data gathering [ 45 , 46 ], etc.…”

Section: Related Workmentioning

confidence: 99%

Data Access Based on a Guide Map of the Underwater Wireless Sensor Network

Wei

Song

Yin

et al. 2017

Sensors

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Underwater wireless sensor networks (UWSNs) represent an area of increasing research interest, as data storage, discovery, and query of UWSNs are always challenging issues. In this paper, a data access based on a guide map (DAGM) method is proposed for UWSNs. In DAGM, the metadata describes the abstracts of data content and the storage location. The center ring is composed of nodes according to the shortest average data query path in the network in order to store the metadata, and the data guide map organizes, diffuses and synchronizes the metadata in the center ring, providing the most time-saving and energy-efficient data query service for the user. For this method, firstly the data is stored in the UWSN. The storage node is determined, the data is transmitted from the sensor node (data generation source) to the storage node, and the metadata is generated for it. Then, the metadata is sent to the center ring node that is the nearest to the storage node and the data guide map organizes the metadata, diffusing and synchronizing it to the other center ring nodes. Finally, when there is query data in any user node, the data guide map will select a center ring node nearest to the user to process the query sentence, and based on the shortest transmission delay and lowest energy consumption, data transmission routing is generated according to the storage location abstract in the metadata. Hence, specific application data transmission from the storage node to the user is completed. The simulation results demonstrate that DAGM has advantages with respect to data access time and network energy consumption.

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Design and deployment of a smart system for data gathering in aquaculture tanks using wireless sensor networks

Cited by 38 publications

References 39 publications

Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey

Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey

Physical Sensors for Precision Aquaculture: A Review

Data Access Based on a Guide Map of the Underwater Wireless Sensor Network

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