LivingFog: Leveraging fog computing and LoRaWAN technologies for smart marina management (experience paper)

Battulga, Davaadorj; Farhadi, Mozhdeh; Tamiru, Mulugeta Ayalew; Wu, Li; Pierre, Guillaume

doi:10.1109/icin53892.2022.9758124

Cited by 6 publications

(3 citation statements)

References 13 publications

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“…By querying the monitoring metrics from the global-view cluster, the administrators can easily monitor the status of other clusters instead of accessing each cluster individually. Prometheus Federation has been successfully used for monitoring systems deployed across geographically distributed environments [4], [33]- [36].…”

Section: Motivationmentioning

confidence: 99%

Acala: Aggregate Monitoring for Geo-Distributed Cluster Federations

Huang

Pierre

2023

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing

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Monitoring plays a vital role in geo-distributed cluster federation environments to accurately schedule applications across geographically dispersed computing resources. However, using a fixed frequency for collecting monitoring data from clusters may waste network bandwidth and is not necessary for ensuring accurate scheduling. In this paper, we propose Adaptive Prometheus Federation (AdapPF), an extension of the widelyused open-source monitoring tool, Prometheus, and its feature, Prometheus Federation. AdapPF aims to dynamically adjust the collection frequency of monitoring data for each cluster in geodistributed cluster federations. Based on actual deployment in the geo-distributed Grid'5000 testbed, our evaluations demonstrate that AdapPF can achieve comparable results to Prometheus Federation with 5-seconds scrape interval while reducing crosscluster network traffic by 36%.

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Section: Motivationmentioning

confidence: 99%

Acala: Aggregate Monitoring for Geo-Distributed Cluster Federations

Huang

Pierre

2023

Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing

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“…Apart from these more experimental and personalized proposals, there are already commercial water sensors and water-monitoring systems (for instance Telog-41 of TrimbleWater [37] and DO-IoT-Compact of Umweltleistungen [38]) on the market that use low-power LoRa technology so that the sensor batteries last for several years with fairly reasonable data transmission intervals. Finally, there is a very interesting project at La Marina de Valencia (Spain) proposed by Battulga et al [39]. In their project they use a network of sensors deployed throughout the sea to measure parameters such as the weather and the movement of marine vehicles.…”

Section: Data Transmissionmentioning

confidence: 99%

A Low-Cost and Do-It-Yourself Device for Pumping Monitoring in Deep Aquifers

et al. 2022

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Water crises due to climate change, high population growth and increasing demands from industry and agriculture claim for increasing efficiency and universalizing water resources management strategies and techniques. Water monitoring helps providing necessary evidences for making sound decisions about managing water resources both now and in the future. In this work, a low cost and “do it yourself” communication device is proposed to record water production and energy consumption of electric pumpings from deep boreholes/wells, and to predict the impact of the ongoing and previous pumpings in the evolution of the water level in the aquifer. The proposal incorporates an edge-computing approach for the simulation of the aquifer response in real-time. Computation of results of interest is performed at the sensor, minimizing communication requirements and ensuring almost immediate results. An approximated solution to physically based modeling of aquifer response is computed thanks to the a priori expression of the water level time evolution in a reduced basis. The accuracy is enough to detect deviations from expected behaviour. The energy consumption of the device is very much reduced with respect to that of a full modelling, which can be computed off-line for calibrating reduced model parameters and perform detailed analyses. The device is tested in a real scenario, in a mountain subbasin of the Ebro river in Spain, obtaining a good trade-off between performance, price, and energy consumption.

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“…We focus on the specific use case of localization in a marina environment [3]. Marinas are looking for such a system for tracking: boats (to know if they are in the right place and to warn marina operators in case of an unexpected movement which could indicate theft), equipment (to know the location of an important asset or tool in order to improve efficiency) and workers (to ensure that they are safe and working on the right tasks).…”

Section: Introductionmentioning

confidence: 99%

WELOC: Localizing Equipment in Marinas Using Ultrasound

Savić,

Brun-Laguna,

Watteyne

2023

2023 IEEE 9th World Forum on Internet of Things (WF-IoT)

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In this paper we propose WELOC, an ultrasoundbased localization system for localizing objects in a marina environment. WELOC uses the already installed infrastructure of commercial battery-powered IoT devices, with several years of autonomy, fixed at each slip on the pontoons, used for boat presence monitoring. These devices are equipped with an ultrasound sensor, have known GPS positions and form a wireless, time-synchronized (<15 us synchronization error), mesh network around the gateway. Without impacting the main function of the smart parking system for boats, we propose a scheme to schedule when each ultrasound sensor is triggered. We design a mobile device, from an off-the-shelf ultrasound sensor, compatible with those already present in marinas. We synchronize the device with each ultrasound trigger in the marina, and collect the timestamped distance measurements. The location of the mobile device is then computed using trilateration. We test the ranging accuracy of the mobile device in the lab, where we achieve a 3.5 cm mean absolute error, with a maximum range of 10 m. We perform field testing for the ultrasound signal detection inside the marina, which is equipped with 471 presence sensors, one at each of its slips. We show that our mobile device successfully detects the ultrasound signal on the pontoons.

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LivingFog: Leveraging fog computing and LoRaWAN technologies for smart marina management (experience paper)

Cited by 6 publications

References 13 publications

Acala: Aggregate Monitoring for Geo-Distributed Cluster Federations

Acala: Aggregate Monitoring for Geo-Distributed Cluster Federations

A Low-Cost and Do-It-Yourself Device for Pumping Monitoring in Deep Aquifers

WELOC: Localizing Equipment in Marinas Using Ultrasound

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