2010 Sixth International Conference on Intelligent Sensors, Sensor Networks and Information Processing 2010
DOI: 10.1109/issnip.2010.5706800
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Developing low-cost intelligent wireless sensor networks for aquatic environments

Abstract: 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 i… Show more

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Cited by 13 publications
(15 citation statements)
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“…We are working on an initiative to create an affordable, remote aquatic environmental monitoring platform [28][29][30][31][32]. Our work thus far has shown that such an approach is indeed possible with current technologies.…”
Section: Introductionmentioning
confidence: 99%
“…We are working on an initiative to create an affordable, remote aquatic environmental monitoring platform [28][29][30][31][32]. Our work thus far has shown that such an approach is indeed possible with current technologies.…”
Section: Introductionmentioning
confidence: 99%
“…In each buoy, the solar panel will charge the battery during day light hours. The solar power can generate up to 21 V. A solar regulator will initially step this voltage to the battery voltage followed by a power regulator to reduce battery voltage down to 3 V to power the camera and its associated circuit [25]. Given a set of camera sensors, a camera sensor will be placed at a buoy to form a panoramic view of FoV.…”
Section: Buoy Architecturementioning
confidence: 99%
“…Protégé offers wide developer and user support through an active development community and importantly has a range of direct and indirect support for a variety of reasoning engines, such as Pellet, 4 FaCTþþ, 5 and RacerPRO. 6 At the time of writing, there are two means to initialise the reasoning engine through Proté gé ; indirectly, through the DIG interface [49] and directly through an inline memory connection.…”
Section: The Knowledge Base Softwarementioning
confidence: 99%
“…The collection of real-time remotely sensed data across widely distributed locations is rapidly being developed and adopted through remote environmental monitoring (including sensor networks) [1][2][3][4]. Researchers are arguably finding it increasingly difficult to create timely and well managed information and knowledge and take advantage of all available data sets to inform their studies [1].…”
Section: Introductionmentioning
confidence: 99%