Mobile crowd sensing based on CICN

You, Tao; Umair, Muhammad; Hong, Yong-Gen

doi:10.1109/ictc.2017.8190919

Cited by 7 publications

(4 citation statements)

References 8 publications

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“…Due to the large urban perimeter in some cities, deploying infrastructure to sense entire urban areas may become challenging. One solution to tackle this issue is by applying mobile crowdsensing (You et al, 2017;Li et al, 2017b;Longo et al, 2018). Mobile crowdsensing advocates for the sharing of spatiotemporal annotated data collected from mobile devices (e.g., smartphones and tablets) about different urban phenomena.…”

Section: Mobile Crowdsensingmentioning

confidence: 99%

“…Statistical data stored at the SDN controller allow the creation of an incentive mechanism for users' participation in the sensing process. A different approach to manage opportunistic networks for mobile crowdsensing is by using ICN (You et al, 2017). An urban pollution monitoring system orchestrates container-based microservices to integrate data from multiple heterogeneous data sources (Longo et al, 2018).…”

Section: Mobile Crowdsensingmentioning

confidence: 99%

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Service Provisioning in Edge-Cloud Continuum: Emerging Applications for Mobile Devices

Rodrigues

Souza

Braun

et al. 2023

JISA

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Disruptive applications for mobile devices can be enhanced by edge computing facilities. In this context, Edge Computing (EC) is a proposed architecture to meet the mobility requirements imposed by these applications in a wide range of domains, such as the Internet of Things, Immersive Media, and Connected and Autonomous Vehicles. EC architecture aims to introduce computing capabilities in the path between the user and the Cloud to execute tasks closer to where they are consumed, thus mitigating issues related to latency, context awareness, and mobility support. In this survey, we describe which are the leading technologies to support the deployment of EC infrastructure. Thereafter, we discuss the applications that can take advantage of EC and how they were proposed in the literature. Finally, after examining enabling technologies and related applications, we identify some open challenges to fully achieve the potential of EC, and also research opportunities on upcoming paradigms for service provisioning. This survey is a guide to comprehend the recent advances on the provisioning of mobile applications, as well as foresee the expected next stages of evolution for these applications.

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Section: Mobile Crowdsensingmentioning

confidence: 99%

Section: Mobile Crowdsensingmentioning

confidence: 99%

Service Provisioning in Edge-Cloud Continuum: Emerging Applications for Mobile Devices

Rodrigues

Souza

Braun

et al. 2023

JISA

View full text Add to dashboard Cite

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“…Another tool is Bluetooth Low Energy (BLE), in which the device advertises itself on dedicated channels to be discovered by a BLE-enabled smartphone listening for the advertised packets. The BLE tags are distributed on people to monitor and track the crowd using beaconing technology [30], [31].…”

Section: B Crowd Monitoring and Trackingmentioning

confidence: 99%

In-Depth Survey to Detect, Monitor and Manage Crowd

et al. 2020

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Crowd management is a flourishing, active research area and must be given attention due to the potential losses, disasters, and accidents that could occur if it were neglected. For the last decade, the crowd management field has witnessed significant advancements; however, more investigative work is still needed. The integration of different crowd detection and monitoring techniques can enhance the control and the performance compared to those of more limited stand-alone techniques. Crowd management encompasses an entire process, from the monitoring stage through the decision support system stage. This sector involves accessing and interpreting information sources, predicting crowd behavior, and deciding on the use of a range of possible interventions based on context. This paper shows a fresh conclusive review of the concept of the crowd, discussing it from several perspectives in light of its defining characteristics, its risks, and tragedies, which may occur due to challenges faced during crowd management, where these conclusions are based on a massive number of scholarly articles that were newly published. Besides, a systematic discussion is shown concerning the steps of managing a crowd, including crowd detection, in which several new methods are reviewed, followed by illustrating both direct and indirect approaches to crowd monitoring and tracking monitoring. The primary purpose of this review is to establish a comprehensive understanding of crowdrelated processes. Moreover, it aims to find research gaps to overcome the limitations of using stand-alone techniques in each process and provide support to other researchers' future work.

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“…The sensing task refers to the task of collecting opportunistic Bluetooth contacts, or wireless contacts, in mobile ad hoc networks. You et al [76] proposed an MCS application to collect opportunistic sensing data in a limited area using Bluetooth based on Community Information-Centric Networking technology. The application feature supports data integrity and uses IP-less communication as a simple communication model.…”

Section: ) Access Communication Networkmentioning

confidence: 99%