Crowd sensing aware disaster framework design with IoT technologies

Küçük, Kerem; Bayılmış, Cüneyt; Sonmez, Ahmet Furkan; Kaçar, Sezgin

doi:10.1007/s12652-019-01384-1

Cited by 25 publications

(14 citation statements)

References 40 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The identification of areas where disasters are occurring or are imminent will reduce the workload of rescue teams. In order to achieve this goal, in the paper [39], the author proposes a disaster management framework based on IoT communication technology based on crowd sensing clustering algorithm. The developed system uses embedded system, cellular network and other different IoT technologies to transmit two important information -the state of the building and the density of residents, hoping to use the size of the crowd density to provide information about the state of the building damage.…”

Section: Crowd Sensing and Iot-based Frameworkmentioning

confidence: 99%

See 1 more Smart Citation

Technology of Internet of Things Responding to Natural Disasters

Chen¹,

Shao²,

Zhu³

2021

EAI Endorsed Trans IoT

View full text Add to dashboard Cite

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.

show abstract

Section: Crowd Sensing and Iot-based Frameworkmentioning

confidence: 99%

“…Mountain areas in India M. T. A. Abraham et. al [39] Landslide early warning system based on IoT and MEMS.…”

Section: Landslidementioning

confidence: 99%

Technology of Internet of Things Responding to Natural Disasters

Chen¹,

Shao²,

Zhu³

2021

EAI Endorsed Trans IoT

View full text Add to dashboard Cite

show abstract

“…The prevalence of IoT alongside social media and crowdsensing has opened new domains for situational awareness in SPS. A few examples of such applications include real-time crowd density measurement, search and rescue operations, and urban anomaly detection [136]- [139]. By integrating social media and crowdsensing with the IoT paradigm, the emerging areas of SocialIoT and CrowdIoT respectively are achieving results beyond what is possible with traditional standalone situational awareness approaches.…”

Section: Automatic License Plate Recognition Using Crowdsensing and P...mentioning

confidence: 99%

“…The ubiquity of such "all-in-one" data acquisition, computation, and communication devices has motivated a good amount of work in developing a wide range of SPS-based urban sensing tools [152]- [154]. A few important applications fueled by mobile crowdsensing include: i) real-time urban crisis reporting where inputs from concerned citizens through smartphone apps and signals from IoT sensors (e.g., proximity sensors) are correlated to located urban crisis [66]; ii) risky traffic zone identification where crowdsensed traffic data from dedicated websites are combined with roadside sensor units to locate traffic risks [63]; iii) gas leakage detection in urban areas in which gas sensors are used to measure unusual gas concentrations and further integrated with knowledge from citizens acquired though crowdsensing apps to identify gas leakage [155]; and iv) simultaneous localization and mapping for rescue missions in which reports of potential survivors from smartphone apps are augmented with received signal strength indicator (RSSI) values from WiFi routers to locate potential survivors in the aftermath of disasters [136].…”

Section: Anomaly Detection Using Sas and S-vsnmentioning

confidence: 99%

A Survey on Social-Physical Sensing: An Emerging Sensing Paradigm that Explores the Collective Intelligence of Humans and Machine

Rashid¹,

Wei²,

Wang³

2021

Preprint

View full text Add to dashboard Cite

Propelled by the omnipresence of versatile data capture, communication, and computing technologies, physical sensing has revolutionized the avenue for spontaneously capturing and interpreting the real-world phenomenon. Despite its virtues, various limitations (e.g., high application specificity, partial autonomy, and sparse coverage) hinder physical sensing's effectiveness in critical scenarios such as disaster response and urban anomaly detection. Meanwhile, social sensing is contriving as a pervasive sensing paradigm that leverages the observations from human participants equipped with portable devices and ubiquitous Internet connectivity (i.e., through social media or crowdsensing apps) to perceive the occurrences in the environment. While social sensing possesses a plethora of benefits, it also inherently suffers from a few drawbacks (e.g., inconsistent reliability, uncertain data provenance, and limited sensing availability). Motivated by the complementary virtues of both physical and social sensing, social-physical sensing (SPS) is protruding as an emerging sensing paradigm that tightly integrates the social and physical sensors at an unprecedented scale. The vision of SPS centers on mitigating the individual weaknesses of physical and social sensing while exploiting their collective strengths in reconstructing the "state of the world", both physically and socially. While a good amount of interesting SPS applications has been explored, several important unsolved challenges and open research questions prevail in the way of developing innovative and practical SPS systems, which require careful scrutiny and research to address. In this paper, we provide a comprehensive survey of SPS, with an emphasis on its definition and key enablers, state-of-the-art applications, potential research challenges, and the road-map for future work. While existing survey papers related to sensing have discussed sensing schemes that are partly related to SPS, they do not explicitly provide an extensive overview of the SPS paradigm or the state-of-the-art SPS schemes. This paper intends to bridge this knowledge gap by thoroughly examining the various aspects of SPS crucial for building potent SPS systems.

show abstract

“…With this technique, while increasing the throughput, the delay time is reduced, and so it can be very important for maximum throughput utilization in disaster cases. 15 The development of wireless technologies has enabled WBAN architecture to be used anytime and anywhere. The wireless operation of all smart devices nowadays causes the free spectrum used in the Industrial Scientific Medical (ISM) band to be insufficient.…”

Section: T a B L E 1 User Priority Mappingmentioning

confidence: 99%

Channel aware wireless body area network with cognitive radio technology in disaster cases

Ci̇ci̇oğlu

Çalhan

2020

Int J Communication

View full text Add to dashboard Cite

Today, developments in wireless technologies and the increase in disaster cases reveal the necessity of various wireless technologies cooperation. Several technologies are able to cooperate with each other for eHealth, IoT, and so forth applications in disaster cases with the pros and cons of today's communications. Wireless Body Area Networks (WBAN) and cognitive radio (CR) are promising technologies that can be used together to troubleshoot communication problems and make rescue operations successful in disaster situations. WBAN is a radio frequency-based wireless network technology that aims to monitor the functions and conditions of the human body through the sensor nodes that form a network. CR proposes solutions to current problems of wireless communications such as spectrum scarcity and inefficient use of the spectrum. In this study, CR-based WBAN architecture is proposed in disaster cases, and so the emergency, time-critical, and vital signs of WBAN users (endangered people and rescue team members) are able to reach the health unit or disaster management unit in an opportunistic way. CR technology is integrated with a WBAN architecture utilizing the CSMA/C-based IEEE 802.15.6 standard, and performance analysis is executed with the Riverbed Modeler simulation software. Furthermore, using the channel bonding technique, the throughput, the delay, the packet delivery ratios, and energy consumption ratios of the proposed architecture are investigated. According to the results, it was found that CR-based WBAN architecture was 25% more successful in energy efficiency and 5% more successful in packet delivery ratio with channel bonding technique than the traditional WBAN. K E Y W O R D S channel bonding, cognitive radio network, disaster case, IEEE 802.15.6, wireless body area network 1 | INTRODUCTION Nature occasionally causes various problems such as tsunami, earthquake, hurricane, and flood. As a result, man and man-made structures are damaged. There were many earthquakes in the world in recent years especially in Turkey. The cellular communication infrastructure collapses for a long time immediately after the earthquake. The people

show abstract

Crowd sensing aware disaster framework design with IoT technologies

Cited by 25 publications

References 40 publications

Technology of Internet of Things Responding to Natural Disasters

Technology of Internet of Things Responding to Natural Disasters

A Survey on Social-Physical Sensing: An Emerging Sensing Paradigm that Explores the Collective Intelligence of Humans and Machine

Channel aware wireless body area network with cognitive radio technology in disaster cases

Contact Info

Product

Resources

About