A service oriented IoT architecture for disaster preparedness and forecasting system

Pillai, Anju S.; Chandraprasad, Gaddam S.; Khwaja, Ahmed Shaharyar; Anpalagan, Alagan

doi:10.1016/j.iot.2019.100076

Cited by 31 publications

(13 citation statements)

References 9 publications

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“…The virtual-gauge functionality of the CrowdWater application was validated against the in-field surveys and from the analysis, application recorded water levels were reported comparatively accurately to field values. In 2021, Pillai et al [122] developed a service-oriented IoT architecture for disaster forecasting and early warning by using machine learning algorithms over the cloud server. Acceptable absolute errors were reported when machine learning models were applied on three different sensors data on the cloud.…”

Section: Preparednessmentioning

confidence: 99%

A process-driven and need-oriented framework for review of technological contributions to disaster management

Iqbal

Perez

Barthélemy

2021

Heliyon

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Section: Preparednessmentioning

confidence: 99%

A process-driven and need-oriented framework for review of technological contributions to disaster management

Iqbal

Perez

Barthélemy

2021

Heliyon

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“…Remote area only; Does not use sensors for structural monitoring. [22] IoT-WSN based on machine learning algorithms that run in a cloud server and includes a modular redundancy fault tolerant scheme to obtain an accurate prediction from sensor data (gas and force sensors) managed by the ultra-low power MSP430 board and a Raspberry Pi, which was designed for early warning in an industry environment.…”

Section: Medical Emergency Only;mentioning

confidence: 99%

An IoT System for Social Distancing and Emergency Management in Smart Cities Using Multi-Sensor Data

Fedele

Merenda

2020

Algorithms

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Smart cities need technologies that can be really applied to raise the quality of life and environment. Among all the possible solutions, Internet of Things (IoT)-based Wireless Sensor Networks (WSNs) have the potentialities to satisfy multiple needs, such as offering real-time plans for emergency management (due to accidental events or inadequate asset maintenance) and managing crowds and their spatiotemporal distribution in highly populated areas (e.g., cities or parks) to face biological risks (e.g., from a virus) by using strategies such as social distancing and movement restrictions. Consequently, the objective of this study is to present an IoT system, based on an IoT-WSN and on algorithms (Neural Network, NN, and Shortest Path Finding) that are able to recognize alarms, available exits, assembly points, safest and shortest paths, and overcrowding from real-time data gathered by sensors and cameras exploiting computer vision. Subsequently, this information is sent to mobile devices using a web platform and the Near Field Communication (NFC) technology. The results refer to two different case studies (i.e., emergency and monitoring) and show that the system is able to provide customized strategies and to face different situations, and that this is also applies in the case of a connectivity shutdown.

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“…Uma arquitetura IoT orientada a serviço para prevenção e previsão de desastres usando aprendizado de máquinaé apresentada em [50]. A implementação inclui redundância modular tripla para garantir a disponibilidade e confiabilidade dos dados: três sensores, um principal e dois auxiliares.…”

Section: Arquiteturaunclassified

Uma Revisão Sistemática da Literatura Sobre Tolerância a Falhas em Internet das Coisas

Pastorio

Rodrigues

Camargo

2020

Anais Estendidos Do X Simpósio Brasileiro De Engenharia De Sistemas Computacionais (SBESC Estendido 2020)

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A ampla adoção do conceito de Internet das Coisas (IoT) passa por aumentar a confiabilidade e a disponibilidade das suas aplicações perante falhas. A heterogeneidade dos componentes IoT, aliado a dispositivos limitados computacionalmente e integrados a Internet, impõe desafios adicionais para alcançar a tolerância a falhas. Nesse contexto, é essencial investigar como a tolerância a falhas pode ser eficientemente desenvolvida em IoT. Este trabalho apresenta uma revisão sistemática da literatura sobre as principais técnicas e soluções de tolerância a falhas desenvolvidas nesse contexto. Dos 2.004 trabalhos encontrados nos últimos 5 anos, 44 respondem diretamente a questão de pesquisa formulada e são categorizados de acordo com a estratégia de tolerância a falhas utilizada. A análise dos resultados apresenta soluções aplicadas ao dispositivo, conectividade, nuvem e borda, arquiteturas tolerantes a falhas e blockchain.

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A service oriented IoT architecture for disaster preparedness and forecasting system

Cited by 31 publications

References 9 publications

A process-driven and need-oriented framework for review of technological contributions to disaster management

A process-driven and need-oriented framework for review of technological contributions to disaster management

An IoT System for Social Distancing and Emergency Management in Smart Cities Using Multi-Sensor Data

Uma Revisão Sistemática da Literatura Sobre Tolerância a Falhas em Internet das Coisas

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