IEEE Access · 2017 · 281 citations · 41 references
ComputingDisaster PlanningEmergency PreparednessDisaster ResponseEmergency ManagementInternet Of ThingsDisaster RecoveryIot AnalyticsIot Data AcquisitionIot InteroperabilityIot SensorsNotification SystemsDeployable SystemsDisaster Response SystemsDisaster Warning SystemsInternet Of Things SensingIot Self-healing SystemsKnowledge AggregationReal-time Data AnalyticsVictim Localization
Disasters increasingly exceed human control, yet the Internet of Things—offering heterogeneity, interoperability, lightweight, and flexibility—provides promising tools for monitoring and response. This survey examines existing IoT-based approaches for disaster management, covering early warning, notification, analytics, knowledge aggregation, remote monitoring, real‑time analytics, and victim localization. The authors review state‑of‑the‑art IoT protocols, market‑ready products, and deployment scenarios that enable simultaneous interventions and real‑time data integration for disaster response. The study identifies key open challenges and outlines future research directions for IoT‑enabled disaster management systems.
Disastrous events are cordially involved with the momentum of nature. As such mishaps have been showing off own mastery, situations have gone beyond the control of human resistive mechanisms far ago. Fortunately, several technologies are in service to gain affirmative knowledge and analysis of a disaster's occurrence. Recently, Internet of Things (IoT) paradigm has opened a promising door toward catering of multitude problems related to agriculture, industry, security, and medicine due to its attractive features, such as heterogeneity, interoperability, light-weight, and flexibility. This paper surveys existing approaches to encounter the relevant issues with disasters, such as early warning, notification, data analytics, knowledge aggregation, remote monitoring, real-time analytics, and victim localization. Simultaneous interventions with IoT are also given utmost importance while presenting these facts. A comprehensive discussion on the state-of-the-art scenarios to handle disastrous events is presented. Furthermore, IoT-supported protocols and market-ready deployable products are summarized to address these issues. Finally, this survey highlights open challenges and research trends in IoT-enabled disaster management systems.
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Real-Time Wireless Sensor Network for Landslide Detection
Maneesha Vinodini Ramesh · 2009 · 208 citations
Visual Sensing for Urban Flood Monitoring
Shi-Wei Lo, Jyh-Horng Wu, Fang‐Pang Lin et al. · Sensors · 2015 · 163 citations · Full text