The Internet of Things to Support Urban Incident Responses

Santos, Rodrigo; Orozco, Javier; Ochoa, Sergio F.; Meseguer, Roc

doi:10.1007/978-3-319-03176-7_37

Cited by 6 publications

(3 citation statements)

References 14 publications

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“…The authors present a refined architecture of an HWSN in [8,11]. It is composed of four layers ( Fig.1): sensing, communication, information persistence and application.…”

Section: Structure Of An Hwsnmentioning

confidence: 99%

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Modeling interactions in human-centric wireless sensor networks

Monares

Ochoa

Herskovic

et al. 2014

Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

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The recent growth of social networking and sensing applications has enabled people to perform crowd computing. In turn, this activity has opened several opportunities to address people's needs in various application areas, such as tourism, security, entertainment and emergency response. However, the design of these applications has also brought several challenges to software designers. Since users of these systems interact among them in heterogeneous physical scenarios, their interactions should be formally considered in the design of these applications in order to determine whether or not the services embedded in the system are suitable to support those interactions. The lack of guidelines to address this modeling issue not only jeopardizes the suitability of these applications, but also implies the services provided by the system can be evaluated only after implementation, which is clearly risky and expensive. This article proposes an initial modeling language that allows software designers to address this challenge through the representation of the interaction among users of a system. The interaction model represented using the proposed language allows designers to evaluate, at the design time, the information flow and the availability of interaction supporting services in the system. The usability and usefulness of the proposal are shown using a running example.

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“…The authors present a refined architecture of an HWSN in [8,11]. It is composed of four layers ( Fig.1): sensing, communication, information persistence and application.…”

Section: Structure Of An Hwsnmentioning

confidence: 99%

“…These computing paradigms can also be used to support collaborative activities, for instance in hospital work [9] and emergency response [10,11].…”

Section: Introductionmentioning

confidence: 99%

Modeling interactions in human-centric wireless sensor networks

Monares

Ochoa

Herskovic

et al. 2014

Proceedings of the 2014 IEEE 18th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

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“…The use of IoT-based technology in first response processes has been proposed in the past. In [3,4], the use of IoT solutions to support search and rescue teams during urban incidents was proposed. Particularly, the use of opportunistic networks as alternative backbones to provide communication between rescuers and the incident commander is proposed in [5,6] with different schemes to provide real-time response.…”

Section: Related Workmentioning

confidence: 99%

Evacuation Supporting System Based on IoT Components †

Eggly

Finochietto

Micheletto

et al. 2019

13th International Conference on Ubiquitous Computing and Ambient ‪Intelligence UCAmI 2019‬

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The response to natural disasters usually requires evacuation procedures that should be followed in a quick and orderly fashion. While census data provide information on the population distribution during sleeping hours, the evacuation procedure may arrive at any moment of the day, even when people are not at home; e.g., in their daily activities. This particular situation causes preparedness plans based on census information to become minimally effective; therefore, more dynamic and context-aware strategies are required to properly address these evacuation processes. In this paper, an evacuation supporting system, based on IoT-networked devices, is proposed to guide people to safe places or shelters once the alert of an extreme event has been issued. The system is interactive and support crowd-sensing; this allows people to upload information on the state of the routes and the shelters, thus keep an updated status of the evacuation routes. The contribution of the paper is twofold. On one side, an evolutionary algorithm is proposed to provide coverage in a breadcrumb deployment of information posts called witness units. On the other, an application based on geographical information system is presented as an intermediary between the witness units and the users; this application guides people towards safe places or shelters.

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Developing an Integration Framework for Crowdsourcing and Internet of Things with Applications for Disaster Response

Dubey

Luo

et al. 2015

2015 IEEE International Conference on Data Science and Data Intensive Systems

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The Internet of Things to Support Urban Incident Responses

Cited by 6 publications

References 14 publications

Modeling interactions in human-centric wireless sensor networks

Modeling interactions in human-centric wireless sensor networks

Evacuation Supporting System Based on IoT Components †

Developing an Integration Framework for Crowdsourcing and Internet of Things with Applications for Disaster Response

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