Internet of Things (IoT) Architecture for Flood Data Management

Ghapar, Azimah Abdul; Yussof, Salman; Bakar, Asmidar Abu

doi:10.14257/ijfgcn.2018.11.1.06

Cited by 33 publications

(19 citation statements)

References 14 publications

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“…Rego et al ( 2018 ) To propose an IoT architecture for flood data management that collects, transmits and manages flood related data. Ghapar et al ( 2018 ) To develop reliable IoT Networks for unmanned air vehicles (UAVs) in disaster search and rescue operations. Ahn et al ( 2018 ) To propose an evacuation planning algorithm to provide personalized evacuation planning schemes for users in order to guide them to the most reasonable shelter.…”

Section: Resultsmentioning

confidence: 99%

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The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review

Marić¹,

Galera‐Zarco

Opazo‐Basáez

2021

Ann Oper Res

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The role of digital technologies (DTs) in humanitarian supply chains (HSC) has become an increasingly researched topic in the operations literature. While numerous publications have dealt with this convergence, most studies have focused on examining the implementation of individual DTs within the HSC context, leaving relevant literature, to date, dispersed and fragmented. This study, through a systematic literature review of 110 articles on HSC published between 2015 and 2020, provides a unified overview of the current state-of-the-art DTs adopted in HSC operations. The literature review findings substantiate the growing significance of DTs within HSC, identifying their main objectives and application domains, as well as their deployment with respect to the different HSC phases (i.e., Mitigation, Preparedness, Response, and Recovery). Furthermore, the findings also offer insight into how participant organizations might configure a technological portfolio aimed at overcoming operational difficulties in HSC endeavours. This work is novel as it differs from the existing traditional perspective on the role of individual technologies on HSC research by reviewing multiple DTs within the HSC domain.

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Section: Resultsmentioning

confidence: 99%

“…Rego et al ( 2018 ) Flood forecasting. Ghapar et al ( 2018 ) Disaster rescue operations. Ahn et al ( 2018 ) Emergency evacuation planning.…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review

Marić¹,

Galera‐Zarco

Opazo‐Basáez

2021

Ann Oper Res

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“…Finally, because of rapid progress in the internet of things (IoT), sensors and associated components are becoming cheaper than ever before. The deployment of large-scale and economically efficient sensory networks is expected, and the quantity and quality of the monitoring can be increased and improved accordingly [113,114]. New techniques, such as the application of commercial microwave links for rainfall observations, the analysis of pictures from cameras, or the crowdsourcing of personal weather stations, are rapidly developing to extend the horizon of monitoring for sustainability [115][116][117][118].…”

Section: Monitoringmentioning

confidence: 99%

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

Yang

Liu

2020

Sustainability

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Water is a limited resource but essential to sustaining life and supporting economic development. Only 2.5% of all the water on Earth is freshwater and can be used to meet basic human needs such as a clean supply of water for drinking, cooking, and bathing. Water scarcity is the result of an imbalance between supply and demand. Efficient water resource management is definitely of interest to research and is a practical topic. At the same time, water-related disasters such as floods and droughts cause the loss of life and property. Disasters increase the difficulty of effective water resource management. An increase in climate extremes can also increase the risk of floods and droughts. This overview covers 150 peer-reviewed journal publications from the last twenty years focusing on risk-reduction strategies for floods and droughts. First, a definition and classification of flood and drought was introduced. Second, studies and techniques associated with risk reduction were grouped into three themes and discussed: prediction and warning; monitoring; and impact assessment, response, and management. As a result, many studies were solely focused on, and achieve excellence in, their own themes. Special attention was needed to find in these studies what can convert the adverse impacts such as flood water to positive outcomes such as drought relief. Multidisciplinary cooperation is necessary to achieve sustainability and to adapt to climate change. Finally, advanced techniques such as artificial intelligence (AI) and the internet of things (IoT) were foreseen to have a tremendous impact on future disaster risk reduction.

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“…With the rapid development of the IoT (Bonnet, et al, 2001;Ghapar, et al, 2018;Kim and Lee, 2017), a lot of smart devices and sensors ( Fig. 1) are increasingly connected at building.…”

Section: Introductionmentioning

confidence: 99%

A Sensor Data Management using Fog-Edge Gateway Model and Column-based Compression for Reliable IoT Networks

2020

JSMS

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Internet of Things(IoT) sensor network consists of many sensor nodes that combine physical sensing capabilities with networking capabilities. The sensors send data to a central monitoring server where the data is aggregated. The objective of this research is to introduce the base architectures of IoT sensor network, data control schemes, fog computing and edge computing technology. In this paper, a new approach of handling IoT data is proposed using combined IoT gateways and column-based compression for efficient and reliable data service in IoT environment. Proposed fog-edge gateway model exploits two different gateways to improve data service bandwidth and data reliability. Fog-edge gateway model can transmit compressed sensor data by reducing overhead in advance through column-based data compression scheme as compared to traditional row-based data management schemes. Experiments were conducted to measure the compression and transmission effects of the proposed scheme, and the results show that the data can be compressed to about 37% by column-based compression.

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Internet of Things (IoT) Architecture for Flood Data Management

Abstract: Abstract

Cited by 33 publications

References 14 publications

The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review

The emergent role of digital technologies in the context of humanitarian supply chains: a systematic literature review

A General Overview of the Risk-Reduction Strategies for Floods and Droughts

A Sensor Data Management using Fog-Edge Gateway Model and Column-based Compression for Reliable IoT Networks

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