Establishing Low Cost Aquatic Monitoring Networks for Developing Countries

Trevathan, Jarrod; Atkinson, Ian; Read, Wayne; Johnstone, Ron; Bajema, Nigel; McGeachin, James

doi:10.1007/978-3-642-15476-8_5

Cited by 8 publications

(7 citation statements)

References 9 publications

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“…A sensor abstract layer provides a plug-in model, in which applications can load new types of sensors on an operating system. However, this approach like other middleware solutions [ 39 , 40 , 41 , 42 , 43 , 44 ] fails to consider available open standards [ 45 ].…”

Section: Related Workmentioning

confidence: 99%

A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management

Assis

Horita

Freitas

et al. 2018

Sensors

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The increasing number of sensors used in diverse applications has provided a massive number of continuous, unbounded, rapid data and requires the management of distinct protocols, interfaces and intermittent connections. As traditional sensor networks are error-prone and difficult to maintain, the study highlights the emerging role of “citizens as sensors” as a complementary data source to increase public awareness. To this end, an interoperable, reusable middleware for managing spatial, temporal, and thematic data using Sensor Web Enablement initiative services and a processing engine was designed, implemented, and deployed. The study found that its approach provided effective sensor data-stream access, publication, and filtering in dynamic scenarios such as disaster management, as well as it enables batch and stream management integration. Also, an interoperability analytics testing of a flood citizen observatory highlighted even variable data such as those provided by the crowd can be integrated with sensor data stream. Our approach, thus, offers a mean to improve near-real-time applications.

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Section: Related Workmentioning

confidence: 99%

A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management

Assis

Horita

Freitas

et al. 2018

Sensors

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“…In light of the cost structure and requirements, we define the parameters for a suitable/feasible solution for remote environmental monitoring systems in coastal environments within developing countries as follows [ 10 ]:…”

Section: Smart Environmental Monitoring and Analysis Technologiesmentioning

confidence: 99%

SEMAT — The Next Generation of Inexpensive Marine Environmental Monitoring and Measurement Systems

Trevathan

Johnstone

Chiffings

et al. 2012

Sensors

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There is an increasing need for environmental measurement systems to further science and thereby lead to improved policies for sustainable management. Marine environments are particularly hostile and extremely difficult for deploying sensitive measurement systems. As a consequence the need for data is greatest in marine environments, particularly in the developing economies/regions. Expense is typically the most significant limiting factor in the number of measurement systems that can be deployed, although technical complexity and the consequent high level of technical skill required for deployment and servicing runs a close second. This paper describes the Smart Environmental Monitoring and Analysis Technologies (SEMAT) project and the present development of the SEMAT technology. SEMAT is a “smart” wireless sensor network that uses a commodity-based approach for selecting technologies most appropriate to the scientifically driven marine research and monitoring domain/field. This approach allows for significantly cheaper environmental observation systems that cover a larger geographical area and can therefore collect more representative data. We describe SEMAT's goals, which include: (1) The ability to adapt and evolve; (2) Underwater wireless communications; (3) Short-range wireless power transmission; (4) Plug and play components; (5) Minimal deployment expertise; (6) Near real-time analysis tools; and (7) Intelligent sensors. This paper illustrates how the capacity of the system has been improved over three iterations towards realising these goals. The result is an inexpensive and flexible system that is ideal for short-term deployments in shallow coastal and other aquatic environments.

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“…SEMAT has recognised the need for inexpensive WSNs that can be deployed without having to rely on a large team of experts including engineers, computer scientists, and marine biologists [7]. SEMAT aims towards having nodes that are "plug and play", in that new nodes can be added to the system which are instantly recognisable without having to reconfigure the system.…”

Section: Introductionmentioning

confidence: 99%

Developing low-cost intelligent wireless sensor networks for aquatic environments

Trevathan

Atkinson

Read

et al. 2010

2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing

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Aquatic environments are extremely difficult for developing, deploying, and maintaining wireless sensor networks. Networks deployed in aquatic settings face multiple challenges, such as marine fowling of equipment, limited power supply, communications difficulties, and restricted accessibility for maintaining and updating sensor nodes. The SEMAT project is an initiative to create "smart", low-cost, heterogeneous wireless sensor networks, tailored to alleviating the aforementioned constraints. Networks can be instantly deployable with minimal setup overheads and can utilise equipment from multiple vendors. This paper presents our experiences with developing the initial technologies to establish SEMAT for field tests. We present the design methodology and challenges faced for creating a marinebased heterogeneous wireless sensor network platform. The result is a low cost solution, with sufficient accuracy for undertaking a study into the factors contributing to Lyngbya algae blooms in Deception Bay, Queensland. The platform builds a case for the merits of the final SEMAT system, as ultimately many of the software and basic hardware challenges for future aquatic deployments have been overcome. This is significant as it allows researchers to focus on the area under study, rather than the specifics of setting up and managing the network.

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Establishing Low Cost Aquatic Monitoring Networks for Developing Countries

Cited by 8 publications

References 9 publications

A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management

A Service-Oriented Middleware for Integrated Management of Crowdsourced and Sensor Data Streams in Disaster Management

SEMAT — The Next Generation of Inexpensive Marine Environmental Monitoring and Measurement Systems

Developing low-cost intelligent wireless sensor networks for aquatic environments

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