A Human-Centric Cloud and Fog-Assisted IoT Platform for Disaster Management

Maharjan, Bikesh; Li, Juan; Alian, Shadi; Bai, Yan

doi:10.1109/mobilecloud.2019.00009

Cited by 3 publications

(8 citation statements)

References 21 publications

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“…Both cloud computing and fog computing belong to the category of big data systems. Fog Computing [42] A decentralized computing infrastructure or process in which computing resources are distributed between a data source and a cloud or other data center. Fog computing is a computing paradigm that caters to user requests at the network edge.…”

Section: Subcategories Definitionmentioning

confidence: 99%

“…For instance, fire emergencies such as fire in a building or urban fire emergencies, and day-to-day emergencies that can be traffic accidents, and industrial accidents. Natural and human-made disasters [10][11][12][13][14]17,36,42,63,64,72,73,80,81,83,84,[89][90][91][92]98,99] The articles where the authors contemplate both types of disasters. It means that the presented solutions in these articles work in both types of disasters.…”

Section: Disasters Descriptionmentioning

confidence: 99%

“…Horita et al [96] addressed the challenge of alignment in decision-making for disaster management systems employing big data applications. Maharjan et al [42] and Dar et al [69,79] employed fog computing for a disaster management system to spread situational awareness [42], reduce cost [69], and provide notification of daily life accidents via mobile app [79]. Sambolek and Ivasic-Kos [61], Kumar et al [67], Xu et al [68], Fragskos et al [73], Muhammad et al [94], and Gong et al [95] proposed solutions for SAR phases utilizing DL and various algorithms.…”

Section: Disasters Descriptionmentioning

confidence: 99%

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The Use of Decision Support in Search and Rescue: A Systematic Literature Review

Nasar

Torres

Gundersen

et al. 2023

IJGI

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Whenever natural and human-made disasters strike, the proper response of the concerned authorities often relies on search and rescue services. Search and rescue services are complex multidisciplinary processes that involve several degrees of interdependent assignments. To handle such complexity, decision support systems are used for decision-making and execution of plans within search and rescue operations. Advances in data management solutions and artificial intelligence technologies have provided better opportunities to make more efficient and effective decisions that can lead to improved search and rescue operations. This paper provides findings from a bibliometric mapping and a systematic literature review performed to: (1) identify existing search and rescue processes that use decision support systems, data management solutions, and artificial intelligence technologies; (2) do a comprehensive analysis of existing solutions in terms of their research contributions to the investigated domain; and (3) investigate the potential for knowledge transfer between application areas. The main findings of this review are that non-conventional data management solutions are commonly used in land rescue operations and that geographical information systems have been integrated with various machine learning approaches for land rescue. However, there is a gap in the existing research on search and rescue decision support at sea, which can motivate future studies within this specific application area.

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Section: Subcategories Definitionmentioning

confidence: 99%

Section: Disasters Descriptionmentioning

confidence: 99%

Section: Disasters Descriptionmentioning

confidence: 99%

See 1 more Smart Citation

The Use of Decision Support in Search and Rescue: A Systematic Literature Review

Nasar

Torres

Gundersen

et al. 2023

IJGI

View full text Add to dashboard Cite

show abstract

“…In a disaster, network infrastructure is damaged and communication channels are congested with increased data traffic. In the paper [38], the authors present an emergency information platform specialized in where IoT technology, fog computing, cloud computing, point-to-point computing and delay tolerant networks are used to solve problems where traditional communication modes fail or perform poorly. For example, a link that allows delay Tolerance network (DTN) is used for data propagation.…”

Section: Disaster Communication In Iot Environmentmentioning

confidence: 99%

“…Fujian, China R. D. Dhanagopal et. al [38] IoT based Energy Efficient Early Landslide Detection (EEELDS) model.…”

Section: Landslidementioning

confidence: 99%

Technology of Internet of Things Responding to Natural Disasters

Chen¹,

Shao²,

Zhu³

2021

EAI Endorsed Trans IoT

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Numerous countries have been affected by natural disasters, the seriousness of which consequences is self-evident, such as power failure, building collapse and communication interruption. With the rapid development of science and technology, the Internet of Things (IoT) has become one of the most important part of current information technology. More and more countries and regions have realized the significance of IoT in dealing with natural disasters and are making efforts to put IoT into use. This paper summarizes the latest progress of IoT with fog computing, swarm robots and other advanced technologies in coping with natural disasters on four aspects. It focuses on how the IoT and other information technologies can solve problems encountered in natural disasters to a certain extent.

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Zero Touch in Fog, IoT, and MANET for Enhanced Smart City Applications: A Survey

Basheer

Itani

2023

Future Cities and Environment

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Every year global cities swell in size. Modernization in techniques helps create sustainable cities for all. Cloud infrastructure providers strive to offer the highest level of availability across the infrastructure stack with the help of Fog Computing (FC) that was invented to deal with IoT interacting with wireless sensor networks (WSN) to enhance services. For intelligent devices to communicate efficiently, the Mobile ad-hoc network (MANET) in IoT is required. Intelligent devices that are connected together through the aforementioned networks may suffer from sudden errors in data storage and transfer thus the need for zero touch networks where devices can heal and adjust themselves to form autonomous networks based on data collected from different integrated network devices. In this work we aim to provide an overview of recent research works that combine FC, IoT and MANET technologies integrated together to build up sustainable cities. We illustrate works of three important applications that affect human daily life. While zero touch technologies are still in their early stages, we set a study of the latest information related to zero touch technologies and how AI supported by machine learning and data analytics constitutes a key enabler to fully autonomous future generation cities.

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A Human-Centric Cloud and Fog-Assisted IoT Platform for Disaster Management

Cited by 3 publications

References 21 publications

The Use of Decision Support in Search and Rescue: A Systematic Literature Review

The Use of Decision Support in Search and Rescue: A Systematic Literature Review

Technology of Internet of Things Responding to Natural Disasters

Zero Touch in Fog, IoT, and MANET for Enhanced Smart City Applications: A Survey

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