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

Trevathan, Jarrod; Johnstone, Ron; Chiffings, Tony; Atkinson, Ian; Bergmann, Neil W.; Read, Wayne; Theiss, Susan M.; Myers, Trina; Stevens, Tom H.

doi:10.3390/s120709711

Cited by 53 publications

(39 citation statements)

References 22 publications

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“…Electronic-nose applications to detect plant pests in preharvest and postharvest crops and tree species continue to expand to include new insect [54–61] and disease [111,112,339,409–413] pests, primarily microbial plant pathogens, beyond those originally reported by Wilson et al [2,106,107]. In the macroenvironments adjacent to industrial plants and indoor working spaces within associated food- and fiber-production facilities, e-noses increasingly are being utilized to monitor air quality to detect hazardous chemicals [68–70,76,77,80,414–419], explosives and flammable gases [29,64], pollutants [420–422] and other VOCs that threaten human health. Likewise, malodorous gases produced from point sources, such as agricultural feedlots and paper-production facilities (pulp mills), increasingly are being monitored by e-nose devices to assure that release of gaseous odors and effluents are maintained below offensive and hazardous threshold levels [423–427].…”

Section: Discussionmentioning

confidence: 99%

Diverse Applications of Electronic-Nose Technologies in Agriculture and Forestry

Wilson

2013

Sensors

274

170

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Electronic-nose (e-nose) instruments, derived from numerous types of aroma-sensor technologies, have been developed for a diversity of applications in the broad fields of agriculture and forestry. Recent advances in e-nose technologies within the plant sciences, including improvements in gas-sensor designs, innovations in data analysis and pattern-recognition algorithms, and progress in material science and systems integration methods, have led to significant benefits to both industries. Electronic noses have been used in a variety of commercial agricultural-related industries, including the agricultural sectors of agronomy, biochemical processing, botany, cell culture, plant cultivar selections, environmental monitoring, horticulture, pesticide detection, plant physiology and pathology. Applications in forestry include uses in chemotaxonomy, log tracking, wood and paper processing, forest management, forest health protection, and waste management. These aroma-detection applications have improved plant-based product attributes, quality, uniformity, and consistency in ways that have increased the efficiency and effectiveness of production and manufacturing processes. This paper provides a comprehensive review and summary of a broad range of electronic-nose technologies and applications, developed specifically for the agriculture and forestry industries over the past thirty years, which have offered solutions that have greatly improved worldwide agricultural and agroforestry production systems.

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Section: Discussionmentioning

confidence: 99%

Diverse Applications of Electronic-Nose Technologies in Agriculture and Forestry

Wilson

2013

Sensors

274

170

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“…The proposed system was deployed in Queensland, Australia to monitor underwater temperature and luminosity. The authors in [294] claimed a cost-effective monitoring system called smart environmental monitoring and analysis technology (SEMAT). SEMAT was used for marine life research and water quality monitoring.…”

Section: ) Ocean Samplingmentioning

confidence: 99%

Underwater optical wireless communications, networking, and localization: A survey

et al. 2019

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Underwater wireless communications can be carried out through acoustic, radio frequency (RF), and optical waves. Compared to its bandwidth limited acoustic and RF counterparts, underwater optical wireless communications (UOWCs) can support higher data rates at low latency levels. However, severe aquatic channel conditions (e.g., absorption, scattering, turbulence, etc.) pose great challenges for UOWCs and significantly reduce the attainable communication ranges, which necessitates efficient networking and localization solutions. Therefore, we provide a comprehensive survey on the challenges, advances, and prospects of underwater optical wireless networks (UOWNs) from a layer by layer perspective which includes: 1) Potential network architectures; 2) Physical layer issues including propagation characteristics, channel modeling, and modulation techniques 3) Data link layer problems covering link configurations, link budgets, performance metrics, and multiple access schemes; 4) Network layer topics containing relaying techniques and potential routing algorithms; 5) Transport layer subjects such as connectivity, reliability, flow and congestion control; 6) Application layer goals and state-of-the-art UOWN applications, and 7) Localization and its impacts on UOWN layers. Finally, we outline the open research challenges and point out the future directions for underwater optical wireless communications, networking, and localization research.

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“…ESNs are surveyed in [16,26]. Some applications to environmental problems are in [6], that presents the Global Seismographic Network, and [16], that presents GlacsWeb; ESNs have been widely applied to marine applications as well, as in the OceanSense project [19,31], the Underwater Wireless Sensor Networks [11], that pays special attention to mobility, scalability and resilience, and the SEMAT project [32], in which three different generations of an implemented marine sensing network are presented, compared and analyzed, with all the main characteristics of the designed sensors. Mobile sensor movements related problems are analyzed in [21], that characterizes the effects of the sea and the desired displacements, and [25], that deals with drifts.…”

Section: Mobile Wireless Sensor Networkmentioning

confidence: 99%

Petri net based evaluation of energy consumption in wireless sensor nodes

D’Arienzo¹,

Iacono²,

Marrone³

et al. 2013

Journal of High Speed Networks

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Wireless Sensor Networks have proven their capability to deal with problems where wide and hardly accessible areas need to be monitored. Among the other systems there are also sensor networks in which nodes can (voluntarily) modify their positions to better adapt to changes of monitored phenomenon. One of the major issues arising in these situations is the energy consumption: as all the movements affect the batteries lifetime, the life of a sensor can be extended by equipping the device with power generators that exploit renewable sources, albeit this solution does not always avoid a full battery discharge. In this paper a Fluid Stochastic Petri Net modelling framework is presented to provide a wide evaluation of all the factors that contribute to the energy dissipation in mobile wireless sensor nodes. The framework allows the generation of extensible and composable models capable to evaluate the energy consumption due to sensing, communication and movement functions as well as the impact of power saving mechanisms on the energetical balance of the node. The approach is applied to a marine sensing problem and is validated by comparing the model analysis results with experimental results achieved through an existing off-the-shelf sensor network simulator. M. D'Arienzo et al. / Petri net based evaluation of energy consumption in wireless sensor nodesof having sensors that are capable to reach the desired position lays in the possibility to optimize their distribution, even dynamically, to compensate the loss of some of them: sensors can be moved by a remote radio control or, even better, can be autonomous and reach a desired position using their own resources, or even behave as autonomous agents and decide the best current position according to the environmental conditions and information coming from the other sensors: moreover, a network in which all sensors are capable of movement can chase the phenomenon to be sensed, in case its dynamics would be such that its extension or its center changes with time or other conditions. Despite the lower deployment number need, these moving sensors use part of their batteries for movement engines, and are generally even more expensive due to the presence of additional components.Marine environment is an interesting scenario for MSNs: although deployment is not necessarily difficult, the movement capability is a feature useful to compensate the effects of the environment on sensors position, like for instance the effects of streams and winds. Moreover, interesting phenomena are spread in the water: dispersed pollution agents, colonies of microorganisms, herds of animals or chemical/thermal gradients generally move in the water, creating the need for a network that can be moved or extended according to the dynamics of phenomena. Additionally, the isolation of the network from maintainers would benefit from the possibility that sensors that are temporarily not needed for a reduction of the monitoring area can be put in a sleep mode to prolongate their useful life, but still keep...

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

Cited by 53 publications

References 22 publications

Diverse Applications of Electronic-Nose Technologies in Agriculture and Forestry

Diverse Applications of Electronic-Nose Technologies in Agriculture and Forestry

Underwater optical wireless communications, networking, and localization: A survey

Petri net based evaluation of energy consumption in wireless sensor nodes

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