Choice of Application Layer Protocols for Next Generation Video Surveillance Using Internet of Video Things

Sultana, Tanin; Wahid, Khan A.

doi:10.1109/access.2019.2907525

Cited by 62 publications

(26 citation statements)

References 59 publications

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“…IoT application layer protocols like CoAP, AMQP, and XMPP protocols are infrequent in real-time IoT deployments [217]. Tanin Sultana et al [218] provided a detailed analysis of MQTT, AMQP, DDS, HTTP, CoAP, and DDS protocols using IoVT framework. In this framework, cameras were used to capture real-time data.…”

Section: E Restful Apis/ Httpmentioning

confidence: 99%

An Empirical Study on System Level Aspects of Internet of Things (IoT)

2020

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Internet of Things (IoT) is an integration of the Sensor, Embedded, Computing, and Communication technologies. The purpose of the IoT is to provide seamless services to anything, anytime at any place. IoT technologies play a crucial role everywhere, which brings the fourth revolution of disruptive technologies after the internet and Information and Communication Technology (ICT). The Research & Development community has predicted that the impact of IoT will be more than the internet and ICT on society, which improves the wellbeing of society and industries. Addressing the predominant system-level design aspects like energy efficiency, robustness, scalability, interoperability, and security issues result in the use of a potential IoT system. This paper presents the current state of art of the functional pillars of IoT and its emerging applications to motivate academicians and researches to develop real-time, energy-efficient, scalable, reliable, and secure IoT applications. This paper summarizes the architecture of IoT, with the contemporary status of IoT architectures. Highlights of the IoT system-level issues to develop more advanced real-time IoT applications have been discussed. Millions of devices exchange information using different communication standards, and interoperability between them is a significant issue. This paper provides the current status of the communication standards and application layer protocols used in IoT with the detailed analysis. The computing paradigms like Cloud, Cloudlet, Fog, and Edge computing facilitate IoT with various services like data offloading, resource and device management, etc. In this paper, an exhaustive analysis of Edge Computing in IoT with different edge computing architectures and existing status are deliberated. The widespread adoption of IoT in society has resulted in privacy and security issues. This paper emphasizes on analyzing the security challenges, privacy and security threats, conventional mitigation techniques, and further scope for IoT security. The features like fewer memory footprints, scheduling, real-time task execution, fewer interrupt, and thread switching latency of Real-Time Operating Systems (RTOS) enables the development of time critical IoT applications. Also, this review offers the analysis of the RTOS's suitable for IoT with the current status and networking stack. Finally, open research issues in IoT system development are discussed.

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Section: E Restful Apis/ Httpmentioning

confidence: 99%

An Empirical Study on System Level Aspects of Internet of Things (IoT)

2020

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“…Here we need to detect and response which is very slow with cloud-only computing, therefore, we distribute the work among different fog nodes since they process data at network edge, therefore, it can give a response in less time [5].…”

Section: Visual Securitymentioning

confidence: 99%

Fog Computing Mitigate Limitations of Cloud Computing

Bhatia*¹,

Sharma²,

Bhatia³

et al. 2020

IJRTE

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In today’s world, cloud computing is the most exciting and advanced technology. It came into existence with lots of advantages, but cloud-only computing has some disadvantages also like latency in real-time data processing, network congestion, less bandwidth utilization, fault tolerance, and security issues in public cloud. To address the issue of real-time data-processing and security in public cloud new computing model are used which is known as Fog Computing. It is nearer to the client or edge so that it can reduce the latency in real time data-processing and security in public cloud using techniques like user profiling and decoying technique. Fog Computing help us to overcome the latency and security issues of cloud computing. It reduces cloud latency in real time data-processing because fog computing model is nearer to the edge devices. It also improves cloud security in the public cloud.

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“…The ultimate objective of the proposed CityAlarm system is to deliver emergency alarms to any number of clients (emergency alarm clients), who can exploit those messages in different ways. To achieve that, after generating an EA, some efficient mechanism has to be employed by the EPU to send emergency alarms to every EAC that is intended to receive them, and there are many possible ways to do that [40].…”

Section: Transmitting Emergency Alarmsmentioning

confidence: 99%

A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City Applications

Costa

Vasques

Portugal

et al. 2019

Sensors

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The development of efficient sensing technologies and the maturation of the Internet of Things (IoT) paradigm and related protocols have considerably fostered the expansion of sensor-based monitoring applications. A great number of those applications has been developed to monitor a set of information for better perception of the environment, with some of them being dedicated to identifying emergency situations. Current IoT-based emergency systems have limitations when considering the broader scope of smart cities, exploiting one or just a few monitoring variables or even allocating high computational burden to regular sensor nodes. In this context, we propose a distributed multi-tier emergency alerting system built around a number of sensor-based event detection units, providing real-time georeferenced information about the occurrence of critical events, while taking as input a configurable number of different scalar sensors and GPS data. The proposed system could then be used to detect and to deliver emergency alarms, which are computed based on the detected events, the previously known risk level of the affected areas and temporal information. Doing so, modularized and flexible perceptions of critical events are provided, according to the particularities of each considered smart city scenario. Besides implementing the proposed system in open-source electronic platforms, we also created a real-time visualization application to dynamically display emergency alarms on a map, demonstrating a feasible and useful application of the system as a supporting service. Therefore, this innovative approach and its corresponding physical implementation can bring valuable results for smart cities, potentially supporting the development of adaptive IoT-based emergency-aware applications.

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Choice of Application Layer Protocols for Next Generation Video Surveillance Using Internet of Video Things

Cited by 62 publications

References 59 publications

An Empirical Study on System Level Aspects of Internet of Things (IoT)

An Empirical Study on System Level Aspects of Internet of Things (IoT)

Fog Computing Mitigate Limitations of Cloud Computing

A Distributed Multi-Tier Emergency Alerting System Exploiting Sensors-Based Event Detection to Support Smart City Applications

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