Low-Power Low-Cost Wireless Flood Sensor for Smart Home Systems

Teixidó, Pedro; Gómez-Galán, Juan Antonio; Gómez-Bravo, Fernando; Sánchez-Rodríguez, T.; Alcina, Javier; Aponte, Juan

doi:10.3390/s18113817

Cited by 26 publications

(15 citation statements)

References 22 publications

(20 reference statements)

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“…-Previous works: Several research and development works have proposed solutions to detect a single or a limited number of emergency situations, since a lot of systems have been developed around a pre-defined number of sensor types. For example, the work in [15] exploited sensor nodes to detect flood in homes, raising an alert when there is a water leak. For that, a sensor device was designed to detect a critical flood emergency.…”

Section: Related Workmentioning

confidence: 99%

“…For example, users are alerted by GSM (global system for mobile communication) messages transmitted to their smartphones in [16]. In a different way, in the work presented in [15], a siren was used for audio alerting, besides textual messages. • Rescue and exit paths: When using complementary information, an emergency alarm can be exploited to define rescue and evacuation paths for people in danger.…”

Section: Related Workmentioning

confidence: 99%

See 1 more Smart Citation

A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City Applications

Costa

Vasques

Portugal

et al. 2019

Sensors

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The development of efficient sensing technologies and the maturation of the Internet of Things (IoT) paradigm and related protocols have considerably fostered the expansion of sensor-based monitoring applications. A great number of those applications has been developed to monitor a set of information for better perception of the environment, with some of them being dedicated to identifying emergency situations. Current IoT-based emergency systems have limitations when considering the broader scope of smart cities, exploiting one or just a few monitoring variables or even allocating high computational burden to regular sensor nodes. In this context, we propose a distributed multi-tier emergency alerting system built around a number of sensor-based event detection units, providing real-time georeferenced information about the occurrence of critical events, while taking as input a configurable number of different scalar sensors and GPS data. The proposed system could then be used to detect and to deliver emergency alarms, which are computed based on the detected events, the previously known risk level of the affected areas and temporal information. Doing so, modularized and flexible perceptions of critical events are provided, according to the particularities of each considered smart city scenario. Besides implementing the proposed system in open-source electronic platforms, we also created a real-time visualization application to dynamically display emergency alarms on a map, demonstrating a feasible and useful application of the system as a supporting service. Therefore, this innovative approach and its corresponding physical implementation can bring valuable results for smart cities, potentially supporting the development of adaptive IoT-based emergency-aware applications.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City Applications

Costa

Vasques

Portugal

et al. 2019

Sensors

View full text Add to dashboard Cite

show abstract

“…Smart wireless sensor nodes are expected to pervade all the emerging applications in the Internet of Things (IoT) arena [2]. Indeed, many WSN platforms aimed at enhancing services, comfort, security, and energy saving have already been proposed for smart city and home and office automation scenarios [3][4][5][6][7][8][9]. WSNs also lend themselves very well to asset-monitoring applications though their ability to monitor and record the exact positions and transportation conditions of assets, personal objects, and the like [10].…”

Section: Introductionmentioning

confidence: 99%

Advanced Monitoring Systems Based on Battery-Less Asset Tracking Modules Energized through RF Wireless Power Transfer

Rosa

Dehollain

Livreri

2020

Sensors

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Asset tracking involving accurate location and transportation data is highly suited to wireless sensor networks (WSNs) featuring battery-less nodes that can be deployed in virtually any environment and require little or no maintenance. In response to the growing demand for advanced battery-less sensor tag solutions, this article presents a system for identifying and monitoring the speeds of assets in a WSN with battery-less tags that receive all their operating energy through radio frequency (RF) wireless power transfer (WPT) architecture, and a unique measurement approach to generate time-domain speed readouts. The assessment includes performance characteristics and key features of a system on chip (SoC) purposely designed to power a node through RF WPT. The result is an innovative solution for RF to DC conversion able to address the principal difficulties associated with maximum power conversion efficiency (PCE) with sensitivity and vice versa, a strategy, and a design optimization model to indicate the number of readers required for reliable asset identification and speed measurement. Model validation is performed through specific tests. Experimental results demonstrating the viability of the proposed advanced monitoring system are provided.

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“…The open problem, in the contemporary transition period, is to adopt those new home automation technologies into already built and furnished houses, minimizing the annoyance during the installation phase. For this reason, the power management is a crucial factor, and despite the vastness of smart homes literature [19][20][21][22][23][24][25], it is still challenging to state that the batteries life issue has been solved.…”

Section: Introductionmentioning

confidence: 99%

Wireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle

Pau

Salerno

2019

Electronics

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This paper introduces a fuzzy-based method that, according to the ratio of Throughput to Workload and the battery level, manages the sleeping time of devices in Wireless Sensor Networks (WSNs) for smart homes. The purpose of this work is a system that can be executed on off-the-shelf hardware and offers enhanced performance confronted with other approaches. The challenge here is to achieve a practical method that reaches the target while bypassing complex and computationally expensive solutions, which would diminish the possible applicability of the method in real scenarios. The retrieved results prove that the proposed approach outperforms other solutions, significantly prolonging the life of battery-powered wireless devices with also satisfactory values of the ratio Throughput to Workload. Besides, a proof-of-concept implementation on off-the-shelf devices confirms that the proposed method does not expect powerful hardware and can be surely implemented on a low-cost device.

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Low-Power Low-Cost Wireless Flood Sensor for Smart Home Systems

Cited by 26 publications

References 22 publications

A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City Applications

A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City Applications

Advanced Monitoring Systems Based on Battery-Less Asset Tracking Modules Energized through RF Wireless Power Transfer

Wireless Sensor Networks for Smart Homes: A Fuzzy-Based Solution for an Energy-Effective Duty Cycle

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