Abstract

Worldwide, flood events frequently have a dramatic impact on urban societies. Time is key during a flood event in order to evacuate vulnerable people at risk, minimize the socio-economic, ecologic and cultural impact of the event and restore a society from this hazard as quickly as possible. Therefore, detecting a flood in near real-time and assessing the risks relating to these flood events on the fly is of great importance. Therefore, there is a need to search for the optimal way to collect data in order to detect floods in real time. Internet of Things (IoT) is the ideal method to bring together data of sensing equipment or identifying tools with networking and processing capabilities, allow them to communicate with one another and with other devices and services over the Internet to accomplish the detection of floods in near real-time. The main objective of this paper is to report on the current state of research on the IoT in the domain of flood detection. Current trends in IoT are identified, and academic literature is examined. The integration of IoT would greatly enhance disaster management and, therefore, will be of greater importance into the future.

Highlights

  • Every child or enthusiast that opens his Internet of Things (IoT) Raspberry Pi kit can read this text: “With a computer, a mouse and a keyboard you have everything you need to use the Internet, but in the IoT world, you are able to add sensors to the mix, bringing you even greater possibilities [1].” InternationalTelecommunication Union (ITU) defined IoT as “A global infrastructure for the information society, enabling advanced services by interconnecting, physically and virtually, things based on existing and evolving interoperable information and communication technologies” [2]

  • The Internet of Things can be defined as the networked interconnection of ubiquitous, context-aware devices that are embedded with sensors, software, electronics and actuators that enable ambient intelligence [5]

  • Since the regulation applies “to the processing of personal data wholly or partly by automated means and to the processing other than by automated means of personal data which form part of a filing system or are intended to form part of a filing system” [211], it applies to the Internet of Floods system

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Summary

Introduction

Every child or enthusiast that opens his IoT Raspberry Pi kit can read this text: “With a computer, a mouse and a keyboard you have everything you need to use the Internet, but in the IoT world, you are able to add sensors to the mix, bringing you even greater possibilities [1].” InternationalTelecommunication Union (ITU) defined IoT as “A global infrastructure for the information society, enabling advanced services by interconnecting, physically and virtually, things based on existing and evolving interoperable information and communication technologies” [2]. In 2013, Internet of Things (IoT) European Research Center (IERC) defined IoT as “A dynamic global network infrastructure with self-configuring capabilities based on standard and interoperable communication protocols where physical and virtual “things” have identities, physical attributes, and virtual personalities and use intelligent interfaces, and are seamlessly integrated into the information network” [3]. Internet of things refers to the moment when people-operated technologies (e.g., desktops, laptops, tablets) will be in the minority on the Internet [4]. In this vision, the majority of Internet users will consist of semi-intelligent devices, so-called embedded systems.

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