Modeling IoT-Based Solutions Using Human-Centric Wireless Sensor Networks

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

doi:10.3390/s140915687

Cited by 20 publications

(6 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…IoT based crises response system is able to support better decision making and real time response [59]. Initiatives like open standard sensor networks i.e., Sensors ANYware (SANY) [60], integrated public alert and warning system (IPAWS-Open) [61] are in place as an alert system based on cloud IoT [62].…”

Section: A Application Areasmentioning

confidence: 99%

Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges

et al. 2021

View full text Add to dashboard Cite

Internet of things (IoT) is one of key pillars in fifth generation (5G) and beyond 5G (B5G) networks. It is estimated to have 42 billion IoT devices by the year 2025. Currently, carbon emissions and electronic waste (e-waste) are significant challenges in the information & communication technologies (ICT) sector. The aim of this article is to provide insights on green IoT (GIoT) applications, practices, awareness, and challenges to a generalist of wireless communications. We garner various efficient enablers, architectures, environmental impacts, technologies, energy models, and strategies, so that a reader can find a wider range of GIoT knowledge. In this article, various energy efficient hardware design principles, data-centers, and software based data traffic management techniques are discussed as enablers of GIoTs. Energy models of IoT devices are presented in terms of data communication, actuation process, static power dissipation and generated power by harvesting techniques for optimal power budgeting. In addition, this article presents various effective behavioral change models and strategies to create awareness about energy conservation among users and service providers of IoTs. Fog/Edge computing offers a platform that extends cloud services at the edge of network and hence reduces latency, alleviates power consumption, offers improved mobility, bandwidth, data privacy, and security. Therefore, we present the energy consumption model of a fog-based service under various scenarios. Problems related to ever increasing data in IoT networks can be solved by integrating artificial intelligence (AI) along with machine learning (ML) models in IoT networks. Therefore, this article provides insights on role of the ML in the GIoT. We also present how legislative policies support adoption of recycling process by various stakeholders. In addition, this article is presenting future research goals towards energy efficient hardware design principles and a need of coordination between policy makers, IoT devices manufacturers along with service providers.INDEX TERMS Fifth generation, Internet of Things, green Internet of Things, fog, machine learning.

show abstract

Section: A Application Areasmentioning

confidence: 99%

Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges

et al. 2021

View full text Add to dashboard Cite

show abstract

“…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

Self Cite

View full text Add to dashboard Cite

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.

show abstract

“…While the added layer of human sensors can help input extra information into the network, the underlying deployed network allows such information to be shared, and therefore becomes an essential component for the success of the communication process. Then, in [ 17 ], the authors extend the previous work and propose a human-centric approach to model IoT-based solutions for man-made incidents such as train derailments or terrorist attacks. Both proposals consider the simultaneous use of stationary witness units (WUs) as well as land mules.…”

Section: Related Workmentioning

confidence: 99%

Flying Real-Time Network to Coordinate Disaster Relief Activities in Urban Areas

Micheletto

Petrucci

Santos

et al. 2018

Sensors

Self Cite

View full text Add to dashboard Cite

While there have been important advances within wireless communication technology, the provision of communication support during disaster relief activities remains an open issue. The literature in disaster research reports several major restrictions to conducting first response activities in urban areas, given the limitations of telephone networks and radio systems to provide digital communication in the field. In search-and-rescue operations, the communication requirements are increased, since the first responders need to rely on real-time and reliable communication to perform their activities and coordinate their efforts with other teams. Therefore, these limitations open the door to improvisation during disaster relief efforts. In this paper, we argue that flying ad-hoc networks can provide the communication support needed in these scenarios, and propose a new solution towards that goal. The proposal involves the use of flying witness units, implemented using drones, that act as communication gateways between first responders working at different locations of the affected area. The proposal is named the Flying Real-Time Network, and its feasibility to provide communication in a disaster scenario is shown by presenting both a real-time schedulability analysis of message delivery, as well as simulations of the communication support in a physical scenario inspired by a real incident. The obtained results were highly positive and consistent, therefore this proposal represents a step forward towards the solution of this open issue.

show abstract

Modeling IoT-Based Solutions Using Human-Centric Wireless Sensor Networks

Cited by 20 publications

References 34 publications

Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges

Green Internet of Things (GIoT): Applications, Practices, Awareness, and Challenges

Evacuation Supporting System Based on IoT Components †

Flying Real-Time Network to Coordinate Disaster Relief Activities in Urban Areas

Contact Info

Product

Resources

About