Aligned with the objectives of UN Sustainable Development Goal 14, which aims to conserve and sustainably use the oceans, seas, and marine resources (United Nations, 2015), coastal cities are increasingly adopting sma...
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ISBN:
(纸本)9783031813214;9783031813221
Aligned with the objectives of UN Sustainable Development Goal 14, which aims to conserve and sustainably use the oceans, seas, and marine resources (United Nations, 2015), coastal cities are increasingly adopting smart marine technologies such as autonomous sensor networks to address environmental challenges and promote sustainable marine management. This systematic literature review examines the integration of these technologies in coastal cities, emphasizing their role and effectiveness in IT-driven mitigation strategies for marine environmental administration while also exploring key barriers, enablers, and stakeholder perceptions regarding the implementation of smart marine environments. Despite the growing prevalence of marine ecological issues, there remains a notable lack of empirical evidence demonstrating the real-world effectiveness of these technologies. Additionally, comprehensive studies exploring stakeholder perceptions and addressing technological integration challenges are limited. This review aims to address these gaps by synthesizing existing research, identifying key barriers and enablers, and providing recommendations for future studies to enhance the adoption and effectiveness of smart marine technologies in coastal cities. To achieve this, a comprehensive search was conducted in ProQuest, EBSCO, and Scopus databases, adhering to PRISMA guidelines, and including 62 peer-reviewed research articles published from 2014 onwards. The review identified significant contributions of autonomous sensor networks in enhancing IT-driven mitigation strategies. Key barriers to implementation include technological limitations, excessive costs, and lack of stakeholder engagement. Conversely, enablers included technological advancements, supportive policy frameworks, and increased stakeholder awareness. To illustrate, advancements in sensor accuracy and data processing capabilities have shown potential in improving real-time environmental monitoring.
This work describes the development of a network of autonomous Underwater Vehicles (AUVs) for ocean monitoring and surveillance in dynamic environments. The key component of the system is the ecoSUB vehicle, a small a...
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ISBN:
(纸本)9781728102535
This work describes the development of a network of autonomous Underwater Vehicles (AUVs) for ocean monitoring and surveillance in dynamic environments. The key component of the system is the ecoSUB vehicle, a small and low cost AUV that acts as a mobile node of the network. Although limited when compared to more traditional assets such as ships or larger and more expensive AUVs, once networked these vehicles can obtain a gain that goes beyond the capabilities of each individual platform, representing a step change in the accessibility to autonomous system use in science and commercial applications. This paper reports results towards the implementation of such a network, describing the communication and localisation infrastructure that it has been built to support it. Experimental results from an initial trail undertaken in Vobster Quay, UK in July 2018 are reported showing the gain in localisation performance that the ecoSUBs can achieve.
Peru is facing imminent water resource issues as glaciers retreat and demand for water increases, yet limited observations and model resolution hamper understanding of hydrometerological processes on local to regional...
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Peru is facing imminent water resource issues as glaciers retreat and demand for water increases, yet limited observations and model resolution hamper understanding of hydrometerological processes on local to regional scales. Much of current global and regional climate studies neglect the meteorological forcing of lapse rates (LRs) and valley and slope wind dynamics on critical components of the Peruvian Andes' water cycle, and herein we emphasize the wet season. In 2004 and 2005 we installed an autonomoussensor network (ASN) within the glacierized Llanganuco Valley, Cordillera Blanca (9 degrees S), consisting of discrete, cost-effective, automatic temperature loggers located along the valley axis and anchored by two automatic weather stations. Comparisons of these embedded hydrometeorological measurements from the ASN and climate modeling by dynamical downscaling using the Weather Research and Forecasting model elucidate distinct diurnal and seasonal characteristics of the mountain wind regime and LRs. Wind, temperature, humidity, and cloud simulations suggest that thermally driven up-valley and slope winds converging with easterly flow aloft enhance late afternoon and evening cloud development, which helps explain nocturnal wet season precipitation maxima measured by the ASN. Furthermore, the extreme diurnal variability of along-valley-axis LR and valley wind detected from ground observations and confirmed by dynamical downscaling demonstrate the importance of realistic scale parameterizations of the atmospheric boundary layer to improve regional climate model projections in mountainous regions.
Reducing energy consumption is mandatory in self-powered sensor nodes of wireless sensornetworks that obtain all their energy from the environment. In this direction, one first step to optimize the network is to accu...
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Reducing energy consumption is mandatory in self-powered sensor nodes of wireless sensornetworks that obtain all their energy from the environment. In this direction, one first step to optimize the network is to accurately measure the total energy harvested, which will determine the power available for sensor consumption. We present here a technique based on an embedded circuit with an ultra-low-power microcontroller to accurately measure the efficiency of flat-panel solar thermoelectric generators operating with environmental temperature gradients. Experimental tests showed that when a voltage of 180 mV (best case in an environmental flat-panel solar thermoelectric generators) is applied to the input of the DC-DC converter, the proposed technique eliminates a measurement error of 33% when compared with the conventional single supercapacitor strategy.
autonomous rechargeable sensornetworks are becoming a feasible solution to many real world applications. In this paper, we propose a Uniform Sensing Protocol for autonomous rechargeable sensornetworks. Our protocol ...
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ISBN:
(纸本)9781605582351
autonomous rechargeable sensornetworks are becoming a feasible solution to many real world applications. In this paper, we propose a Uniform Sensing Protocol for autonomous rechargeable sensornetworks. Our protocol aims to provide uniformly distributed sensing throughout the entire life-time of the network, thus increasing the overall network reliability. It considers the amount of available energy in the environment as well as the probability of encountering a specific number of threats. Using these parameters, each node estimates its own active period, such that uniform sensing is established. We compare the performance of our protocol with static and dynamic active time slot approaches. The simulation results show that the Uniform Sensing Protocol generates fewer failures and has a significantly longer mean time to failure than the other two schemes.
This paper presents positioning results determined by a multi-layer, packet based OMNet++ simulator for communication and positioning In an autonomous wireless sensor network. The simulator Includes an IR-UWB physical...
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ISBN:
(纸本)9781424417988
This paper presents positioning results determined by a multi-layer, packet based OMNet++ simulator for communication and positioning In an autonomous wireless sensor network. The simulator Includes an IR-UWB physical layer model considering the Impact of multi-user interference, a highly flexible MAC layer which performs physical layer adaptations to optimize the total link performance, and a ranging and positioning module. We will give an estimation of the positioning accuracy of the system by considering Ideal, LOS and NLOS channel conditions.
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