An Edge-Cloud Approach for Video Surveillance in Public Transport Vehicles

Quintana-Ramirez, Idelkys; Sequeira, Luis; Ruíz-Mas, José

doi:10.1109/tla.2021.9477277

Cited by 5 publications

(13 citation statements)

References 20 publications

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“…The red bars of DMSEM also have a continuous rise and a fast increase from the speed range [5,10] to [15,20] and from the speed range [15,20] to [20,25]. The orange bars of SECS show the continuous rise and also a the fast increase from the speed range [5,10] to [15,20] and from the speed range [15,20] to [20,25]. The SD values of GSVD are less than those of DMSEM and SECS, and the SD values of SECS are larger than those of GSVD and DMSEM.…”

Section: Performance Evaluationmentioning

confidence: 95%

“…As Figure 4 shows, the average SD values corresponding to the three solutions have the trend of slow rise with an increasing speed range of nodes. The blue bars of GSVD experience the continuous rise and have a fast increase from the speed range [5,10] to [15,20] and from the speed range [15,20] to [25,30]. The red bars of DMSEM also have a continuous rise and a fast increase from the speed range [5,10] to [15,20] and from the speed range [15,20] to [20,25].…”

Section: Performance Evaluationmentioning

confidence: 96%

“…The blue bars of GSVD experience the continuous rise and have a fast increase from the speed range [5,10] to [15,20] and from the speed range [15,20] to [25,30]. The red bars of DMSEM also have a continuous rise and a fast increase from the speed range [5,10] to [15,20] and from the speed range [15,20] to [20,25]. The orange bars of SECS show the continuous rise and also a the fast increase from the speed range [5,10] to [15,20] and from the speed range [15,20] to [20,25].…”

Section: Performance Evaluationmentioning

confidence: 99%

“…The development and application of wireless communication technologies (e.g., 5G/6G) not only support the ubiquitous access of mobile users to break time and space constraints, but also provide enough network bandwidth for various applications with a high requirement of bandwidth [1][2][3][4]. Video services such as IPTV, VoD, and video living rely on wonderful content and quality of services (QoS) and have become the most popular application on the Internet, so much so that video traffic has become more than 70% of the world's total traffic [5][6][7][8]. The combination between video applications and social networks promotes the process and range of video dissemination because the video spread considers social links between users as the new sharing channel [9][10][11][12][13].…”

Section: Introductionmentioning

confidence: 99%

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A Novel Geo-Social-Aware Video Edge Delivery Strategy Based on Modeling of Social-Geographical Dynamic in an Urban Area

2022

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Social networks change the way and approaches of video spread and promote range and speed of video spread, which results in frequent traffic blowout and a heavy load on the networks. The social and geographical communication efficiency determines the efficiency of video sharing, which enables the eruptible traffic to be offloaded in underlaying networks to relieve the load of networks and ensure the user quality of the experience. In this paper, we propose a novel geo-social-aware video edge delivery strategy based on the modeling of the social-geographical dynamic in urban area (GSVD). By investigating the frequency of sharing behaviors, social communication efficiency, and efficiency of social sub-network consisting of one-hop social neighbors of users, GSVD estimates the interactive and basic social relationship to calculate the closeness of the social relationship between mobile users. GSVD makes use of grid partition and coding subarea to express the geographical location of mobile users and designs a calculation method of coding-based geographical distance. GSVD considers the dynamic update of social distance and geographical location and designs a measurement of video delivery quality in terms of delivery delay and playback continuity. A strategy of video delivery with the consideration of adapting to social-geographical dynamic is designed, which effectively promotes the efficiency of video sharing. Extensive tests show how GSVD achieves much better performance results in comparison with other state of the art solutions.

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Section: Performance Evaluationmentioning

confidence: 95%

Section: Performance Evaluationmentioning

confidence: 96%

Section: Performance Evaluationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Novel Geo-Social-Aware Video Edge Delivery Strategy Based on Modeling of Social-Geographical Dynamic in an Urban Area

2022

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“…• The academic literature also highlights the importance of video surveillance both in public transport hubs and in the vehicles themselves. In this regard, it is possible to find works that present heuristic architecture models on onboard video surveillance systems applying processing loads on edge nodes with the objective of minimizing the impact on network performance [8]. Below are several examples of the adoption of Wi-Fi for free in public transport vehicles:…”

Section: A Applications For the Bus Transportation Systemmentioning

confidence: 99%

5G Performance Measurements in Mobility for the Bus Transportation System in an Urban Environment

Fernández-Berrueta,

Figueroa-Lorenzo,

Bustamante

et al. 2023

IEEE Access

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5G is a new technology that can provide more services, due to the improvement in performance, than the current mobile technologies. Because of that, it is selected as a possible technology for automotive transportation systems. Nevertheless, nowadays the 5G technology is in the deployment phase, which could present bugs requiring improvements in the network. Therefore, a tool capable of measuring some of the most relevant features of the 5G, as some of the requirements for the transportation system, is presented. The measurements with the specified tool were carried out in a specific line from the bus company in the San Sebastián city center with the aim of finding out the services that could be improved. Afterward, the results from the different measurements are shown, compared, and discussed. Finally, some conclusions about the obtained results and the services to use the target technology are presented.INDEX TERMS 5G, performance, road, testing, wireless communication technology

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A systematic literature review of Internet of Video Things: Trends, techniques, datasets, and framework

Nisha,

Urvashi

2023

Internet of Things

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An Edge-Cloud Approach for Video Surveillance in Public Transport Vehicles

Cited by 5 publications

References 20 publications

A Novel Geo-Social-Aware Video Edge Delivery Strategy Based on Modeling of Social-Geographical Dynamic in an Urban Area

A Novel Geo-Social-Aware Video Edge Delivery Strategy Based on Modeling of Social-Geographical Dynamic in an Urban Area

5G Performance Measurements in Mobility for the Bus Transportation System in an Urban Environment

A systematic literature review of Internet of Video Things: Trends, techniques, datasets, and framework

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