Human-centric wireless sensor networks to improve information availability during urban search and rescue activities

Ochoa, Sergio F.; Santos, Rodrigo

doi:10.1016/j.inffus.2013.05.009

Cited by 101 publications

(93 citation statements)

References 41 publications

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“…HumanCentric Wireless Sensor Networks (HWSN) [10,11] are a particular case of opportunistic Sensor Networks that are composed of three types of nodes: regular sensors, information holders (keep alive the information delivered by the sensors), and human-based sensors. HCSN shares some commonalities with the IES Cities approach, although there are remarkable differences between both approaches.…”

Section: Background and Related Workmentioning

confidence: 99%

Citizen-centric data services for smarter cities

Aguilera

Peña

Belmonte

et al. 2017

Future Generation Computer Systems

109

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Smart Cities use Information and Communication Technologies (ICT) to manage more efficiently the resources and services offered by a city and to make them more approachable to all its stakeholders (citizens, companies and public administration). In contrast to the view of big corporations promoting holistic "smart city in a box" solutions, this work proposes that smarter cities can be achieved by combining already available infrastructure, i.e., Open Government Data and sensor networks deployed in cities, with the citizens' active contributions towards city knowledge by means of their smartphones and the apps executed in them. In addition, this work introduces the main characteristics of the IES Cities platform, whose goal is to ease the generation of citizen-centric apps that exploit urban data in different domains. The proposed vision is achieved by providing a common access mechanism to the heterogeneous data sources offered by the city, which reduces the complexity of accessing the city's data whilst bringing citizens closely to a prosumer (double consumer and producer) role and allowing to integrate legacy data into the cities' data ecosystem.

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Section: Background and Related Workmentioning

confidence: 99%

Citizen-centric data services for smarter cities

Aguilera

Peña

Belmonte

et al. 2017

Future Generation Computer Systems

109

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“…Unlike WSNs, HWSNs require that every networked node sends information to a Human Based Sensor (HBS) [49]. This type of topology would be ideal for games that monitor specific body parts or require body scanning, such as brain activity.…”

Section: Wireless Sensor Network Topologiesmentioning

confidence: 99%

Topologies for combining the internet of things and serious games

Melthis

Tang

Yang

et al. 2016

IFS

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Topologies for combining the Internet of Things and Serious Gameshttp://researchonline.ljmu.ac.uk/3806/ Article LJMU has developed LJMU Research Online for users to access the research output of the University more effectively. Copyright © and Moral Rights for the papers on this site are retained by the individual authors and/or other copyright owners. Users may download and/or print one copy of any article(s) in LJMU Research Online to facilitate their private study or for non-commercial research. You may not engage in further distribution of the material or use it for any profit-making activities or any commercial gain.The version presented here may differ from the published version or from the version of the record. Please see the repository URL above for details on accessing the published version and note that access may require a subscription. This literature survey uncovers existing topologies that can be applied for combining IoT with Serious Games. This paper presents findings from extensive research into IoT, Serious Games, Pervasive Games and Gamification, IoT topologies and Wireless Sensor Networks (WSN), to identify the requirements of a topology for Serious Games and IoT. By understanding the topological requirements for combining IoT and Serious Games, the development process is reduced, allowing for the advancement in the mentioned field.Three topologies are presented for combining IoT with Serious Games and a detailed topology for developing a Serious Game that monitors student attendance is presented. Also included, is an insight into the new paradigm of Smart Serious Games (SSGs). This paper will aid future research and development in SSGs determine effective network topologies.

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“…In disaster response, the first 72 hours after a disaster have been widely considered as the critical period for rescue tasks. After this period, the survival rate drops dramatically (Fiedrich et al, 2000;Comfort et al, 2004;Ochoa and Santos, 2015). Thus, if the grid cells that contain the critical information for disaster response are mapped first, more people can be potentially saved.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Mapping Sequence of Online Volunteers in Disaster Response

Hu¹,

Janowicz²

2016

GIScience

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In recent years, online volunteers have been actively participating in disaster response, thanks to the advancement of information technologies and the support from humanitarian organizations. One important way in which online volunteers contribute to disaster response is by mapping the a↵ected area based on remote sensing imagery. Such online mapping generates up-to-date geographic information which can provide valuable support for the decision making of emergency responders. Typically, the area a↵ected by an disaster is divided into a number of cells using a grid-based tessellation and each volunteer can select one cell to start the mapping. While this approach coordinates the e↵orts from many online volunteers, it is unclear in which sequence these grid cells have been mapped. This sequence is important because it determines when the geographic information within a particular cell will become available to emergency responders, which in turn can directly influence the e ciency of rescue tasks and other relief e↵orts. In this work, we study three online mapping projects which were deployed and utilized in 2015 Nepal, 2016 Ecuador, and 2016 Japan earthquakes to gain insights into the mapping sequences performed by online volunteers.

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Human-centric wireless sensor networks to improve information availability during urban search and rescue activities

Cited by 101 publications

References 41 publications

Citizen-centric data services for smarter cities

Citizen-centric data services for smarter cities

Topologies for combining the internet of things and serious games

Understanding the Mapping Sequence of Online Volunteers in Disaster Response

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