Improving network resources allocation in smart cities video surveillance

Kunst, Rafael; Avila, Leandro; Pignaton, Edison; Bampi, Sérgio; Rochol, Juergen

doi:10.1016/j.comnet.2018.01.042

Cited by 27 publications

(9 citation statements)

References 12 publications

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“…For instance, Jing [52] proposed a resource optimization scheduling and allocation for the hierarchical distributed cloud service system in smart city, and the scheduling optimization and utilization efficiency of various resources in the hierarchical distributed cloud service for the smart city effectively reduces the response time of the tenant resource request and optimizes the performance of system resource scheduling on the cloud platform. Similarly, Kunst et al [53] studied the improving network resources allocation in smart cities video surveillance. Intelligent transportation, intelligent government, intelligent logistics, and functional industrial park based on Internet of ings technology and big data can effectively relieve traffic pressure, greatly improve the operation speed of logistics, people flow, and information flow, reduce the circulation cost of resources, reduce the energy consumption per unit GDP and environmental protection cost, and provide support conditions for urban green development.…”

Section: To Allocate Resources For Achieving Low-carbon Economic Developmentmentioning

confidence: 99%

Can Smart City Policy Facilitate the Low‐Carbon Economy in China? A Quasi‐Natural Experiment Based on Pilot City

2021

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This paper studies the impact of the implementation of smart city policy (SCP) on the development of low-carbon economy (LCE) in China. For this purpose, we developed a nonconvex meta-frontier data envelopment analysis (DEA) approach to measure LCE and used the differences-in-difference (DID) analysis method in the econometric model to empirically analyze the impact of SCP on LCE, using the dataset of 230 cities from 2005 to 2018. The results show that the implementation of SCP can significantly improve the LCE of cities, and the dynamic effect test presents that the promotion of smart cities to low-carbon economy increases with time. In addition, SCP promotes the development of LCE by optimizing government functions and improving the efficiency of governance and the degree of implementation openness. But there is heterogeneity between different cities as follows: the implementation of SCP has a more significant effect on the promotion of LCE in central and western regions in China and large-scale cities and cities without strict environmental protection planning. Finally, the robustness test verifies the reliability of the experimental data again and puts forward conclusions and policy recommendations.

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Section: To Allocate Resources For Achieving Low-carbon Economic Developmentmentioning

confidence: 99%

Can Smart City Policy Facilitate the Low‐Carbon Economy in China? A Quasi‐Natural Experiment Based on Pilot City

2021

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“…The literature research shows, that similar to homogeneous VSNs, there is just little work in security for heterogeneous VSNs. One approach, proposed by Kunst et al [ 36 ], deals with the secure transmission of surveillance videos in smart city applications by implementing QoS-aware resource sharing in heterogeneous network scenarios. Another approach was introduced by Zhou et al [ 37 ].…”

Section: Related Workmentioning

confidence: 99%

A Generalized Threat Model for Visual Sensor Networks

Simonjan

Taurer

Dieber

2020

Sensors

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Today, visual sensor networks (VSNs) are pervasively used in smart environments such as intelligent homes, industrial automation or surveillance. A major concern in the use of sensor networks in general is their reliability in the presence of security threats and cyberattacks. Compared to traditional networks, sensor networks typically face numerous additional vulnerabilities due to the dynamic and distributed network topology, the resource constrained nodes, the potentially large network scale and the lack of global network knowledge. These vulnerabilities allow attackers to launch more severe and complicated attacks. Since the state-of-the-art is lacking studies on vulnerabilities in VSNs, a thorough investigation of attacks that can be launched against VSNs is required. This paper presents a general threat model for the attack surfaces of visual sensor network applications and their components. The outlined threats are classified by the STRIDE taxonomy and their weaknesses are classified using CWE, a common taxonomy for security weaknesses.

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“…The challenging scenario has made IoT concepts obligatory to be implemented in smart cities, since it creates connection between the objects and communicates to humans in an intelligent way (Delgado et al, 2019;Kunst et al, 2018). One of the major IoT-based services that becomes more crucial every day is the effective waste management in smart cities.Until now, waste management utilized technologies and models such as Geographical Information System (GIS), enhanced routing & scheduling, and other methods to optimize waste collection, storage, and disposal methods.…”

Section: Introductionmentioning

confidence: 99%