2018
DOI: 10.24138/jcomss.v14i1.533
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A Smart IoT-Aware System For Crisis Scenario Management

Abstract: Abstract-In most dangerous events, involving many people in large buildings, rescue workers need to intervene in a timely and targeted manner in order to help most number of people and secure the environments without wasting resources. This work presents an Internet of Things(IoT)-based framework, aiming at monitoring environmental parameters in order to alert rescuers when they exceed some alarm thresholds. A hardware infrastructure driven by a software layer adds flexibility and adaptability to the Complex E… Show more

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Cited by 7 publications
(4 citation statements)
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“…These reasons motivate the research conducted to predict users' behavior and recognize their current and future activities [8][9][10][11][12]. As demonstrated by the various works presented in the literature, thanks to such predictions it is possible to enhance a multitude of existing services, such as improving logistics in different domains [13][14][15], reimagine and dynamically repurpose built environment or customize services [16,17], prevent and manage dangerous situations [18][19][20][21][22], but also their provision. Related to this last aspect, the works proposed in [23,24] demonstrate how the prediction of the user behavior and activities could help in predicting and consequently mitigate the resource demand in a particular moment to distribute the network bandwidth and the processor load dedicated to that service.…”
Section: Related Workmentioning
confidence: 99%
“…These reasons motivate the research conducted to predict users' behavior and recognize their current and future activities [8][9][10][11][12]. As demonstrated by the various works presented in the literature, thanks to such predictions it is possible to enhance a multitude of existing services, such as improving logistics in different domains [13][14][15], reimagine and dynamically repurpose built environment or customize services [16,17], prevent and manage dangerous situations [18][19][20][21][22], but also their provision. Related to this last aspect, the works proposed in [23,24] demonstrate how the prediction of the user behavior and activities could help in predicting and consequently mitigate the resource demand in a particular moment to distribute the network bandwidth and the processor load dedicated to that service.…”
Section: Related Workmentioning
confidence: 99%
“…The solution we propose has been successfully implemented and its source code is available at the project web page 4 . This implementation, based on Apache ActiveMQ as messageoriented middleware, exploits one of the most popular and powerful open source Message and Integration Patterns server written in Java.…”
Section: A Practical Implementationmentioning
confidence: 99%
“…Examples of these may encompass attacks aiming to exhaust the energy of nodes, such as unsolicited communications from spamming nodes [2], or to manipulate the network such as the intrusion of malicious nodes [3]. However, some of the most dangerous are the large Distributed Denial of Service (DDoS) attacks that have taken place in the last years, with unprecedented volumes of data used to knock-down various Internet services across the world, and that could interfere with important services provided by the Internet of Things, such as alerting in crisis scenarios [4]. The attack performed by the Mirai malware in 2016 [5], specifically designed to attack and hijack IoT devices and to transform them into bots, exploitable to carry out subsequent coordinated attacks, was only the first sign of a still active threat [6].…”
mentioning
confidence: 99%
“…Amid an emergency such as a natural disaster or rescue incident, timeliness and accuracy of information regarding the location of rescue team members can make the real difference between safety and danger, between life and death [3]. However, in its implementation, the upper command has limitations in monitoring and supervising location personnel sent to the field [4]. So, we need a system that can monitor the position and location of these personnel [5], [6].…”
Section: Introductionmentioning
confidence: 99%