Dynamic Urban Surveillance Video Stream Processing Using Fog Computing

Chen, Ning; Chen, Yu; You, Yang; Ling, Haibin; Liang, Pengpeng; Zimmermann, Roger

doi:10.1109/bigmm.2016.53

Cited by 155 publications

(66 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…5 gives a general concept of view on two-tier testbed. It was then learned in [47] that leveraging edge computing [48] through pushing computations partially toward UAVs while maintaining high-level picture at the central controller will potentially enhance scalability through hybrid architecture that leverages distributed UAV-based monitoring & autonomous UAV navigation, while maintaining a centralized high-level light-weight navigation and control. Authors in [47] introduce Drone-Be-Gone (DbeG) as an inexpensive, decentralized and accessible CPS testbed using off-the-shelf UAV with an external processing unit (EPU).…”

Section: Architecture and Design Challenges Of Multi-uav Systemsmentioning

confidence: 99%

Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey and Future Directions

Shakeri

Al-Garadi

Badawy

et al. 2019

IEEE Commun. Surv. Tutorials

196

100

View full text Add to dashboard Cite

Unmanned Aerial Vehicles (UAVs) have recently rapidly grown to facilitate a wide range of innovative applications that can fundamentally change the way cyber-physical systems (CPSs) are designed. CPSs are a modern generation of systems with synergic cooperation between computational and physical potentials that can interact with humans through several new mechanisms. The main advantages of using UAVs in CPS application is their exceptional features, including their mobility, dynamism, effortless deployment, adaptive altitude, agility, adjustability, and effective appraisal of real-world functions anytime and anywhere. Furthermore, from the technology perspective, UAVs are predicted to be a vital element of the development of advanced CPSs. Therefore, in this survey, we aim to pinpoint the most fundamental and important design challenges of multi-UAV systems for CPS applications. We highlight key and versatile aspects that span the coverage and tracking of targets and infrastructure objects, energy-efficient navigation, and image analysis using machine learning for fine-grained CPS applications. Key prototypes and testbeds are also investigated to show how these practical technologies can facilitate CPS applications. We present and propose state-of-the-art algorithms to address design challenges with both quantitative and qualitative methods and map these challenges with important CPS applications to draw insightful conclusions on the challenges of each application. Finally, we summarize potential new directions and ideas that could shape future research in these areas. M 2 respectively. However, as shown in Fig.1, both technologies provide two extremes for surveillance with respect to accuracy versus intrusive deployment and maintenance. SRS provides slow large-scale monitoring, while CSNs require widespread deployment and constant human intervention for setup and maintenance, which may not be feasible particularly in harsh environments. On the one hand, SRS cannot be used for finegrain monitoring, such as monitoring of structural objects, with high accuracy, which limits its usage in many applications that require close monitoring and context detection [5]. On the other hand, traditional sensor networks (SNs) are spreading in countless number of Internet of Things (IoT) applications to provide automatic monitoring of objects, humans, and/or infrastructure. SNs, however, require permanent deployment of large magnitude of localized sensors, intrusively to the environment in many cases, and also require constant human intervention to manage and maintain. The proliferation of lowcost UAVs [6] is emerging to provide innovative ways of low altitude sensing with zero-deployment (i.e., no fixed deployment requirements) that can fundamentally change the way such applications are designed.Similar to surveillance applications, UAV technologies have progressed significantly in several applications in the past decade, making commercial and civil applications feasible and compelling. As it occurs with many disruptive technolo...

show abstract

Section: Architecture and Design Challenges Of Multi-uav Systemsmentioning

confidence: 99%

Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey and Future Directions

Shakeri

Al-Garadi

Badawy

et al. 2019

IEEE Commun. Surv. Tutorials

196

100

View full text Add to dashboard Cite

show abstract

“…Many on-line and uninterrupted target tracking systems are proposed to meet the requirements of real-time measurement processing and instant decision making deployed at the edge [10], [32], [81], [82]. Researchers also merged raw data streams from drones on near-site fog computing devices to reduce the amount of data to be outsourced to the cloud center [26].…”

Section: Microservicesmentioning

confidence: 99%

Blockchain Methods for Trusted Avionics Systems

Blasch

Chen

et al. 2019

2019 IEEE National Aerospace and Electronics Conference (NAECON)

Self Cite

View full text Add to dashboard Cite

Blockchain is a popular method to ensure security for trusted systems. The benefits include an auditable method to provide decentralized security without a trusted third party, but the drawback is the large computational resources needed to process and store the ever-expanding chain of security blocks. The promise of blockchain for edge devices (e.g., internet of things) poses a variety of challenges and strategies before adoption. In this paper, we explore blockchain methods and examples, with experimental data to determine the merits of the capabilities. As for an aerospace example, we address a notional example for Automatic dependent surveillancebroadcast (ADSB) from Flight24 data (https://www.flightradar24.com/) to determine whether blockchain is feasible for avionics systems. The methods are incorporated into the Lightweight Internet of Things (IoT) based Smart Public Safety (LISPS) framework. By decoupling a complex system into independent sub-tasks, the LISPS system possesses high flexibility in the design process and online maintenance. The Blockchain-enabled decentralized avionics services provide a secured data sharing and access control mechanism. The experimental results demonstrate the feasibility of the approach.

show abstract

“…As to low-latency processing and resource allocation efficiency, fog computing facilitates mission critical applications at the network edge. A smart urban traffic surveillance system has been implemented with fog computing [1], [3]. It shows that big urban data can be processed in real-time, which is essentially significant in decision making.…”

Section: B Fog Computingmentioning

confidence: 99%

A Novel PMU Fog Based Early Anomaly Detection for an Efficient Wide Area PMU Network

Yang

Chen

et al. 2018

2018 IEEE 2nd International Conference on Fog and Edge Computing (ICFEC)

Self Cite

View full text Add to dashboard Cite

Based on phasor measurement units (PMUs), a synchronphasor system is widely recognized as a promising smart grid measurement system. It is able to provide high-frequency, high-accuracy phasor measurements sampling for Wide Area Monitoring and Control (WAMC) applications. However, the high sampling frequency of measurement data under strict latency constraints introduces new challenges for real time communication. It would be very helpful if the collected data can be prioritized according to its importance such that the existing quality of service (QoS) mechanisms in the communication networks can be leveraged. To achieve this goal, certain anomaly detection functions should be conducted by the PMUs. Inspired by the recent emerging edge-fog-cloud computing hierarchical architecture, which allows computing tasks to be conducted at the network edge, a novel PMU fog is proposed in this paper. Two anomaly detection approaches, Singular Spectrum Analysis (SSA) and K-Nearest Neighbors (KNN), are evaluated in the PMU fog using the IEEE 16-machine 68-bus system. The simulation experiments based on Riverbed Modeler demonstrate that the proposed PMU fog can effectively reduce the data flow end-toend (ETE) delay without sacrificing data completeness.

show abstract

Dynamic Urban Surveillance Video Stream Processing Using Fog Computing

Cited by 155 publications

References 20 publications

Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey and Future Directions

Design Challenges of Multi-UAV Systems in Cyber-Physical Applications: A Comprehensive Survey and Future Directions

Blockchain Methods for Trusted Avionics Systems

A Novel PMU Fog Based Early Anomaly Detection for an Efficient Wide Area PMU Network

Contact Info

Product

Resources

About