Comparing application layer protocols for video transmission in IoT low power lossy networks: an analytic comparison
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Comparing application layer protocols for video transmission in IoT low power lossy networks: an analytic comparison Arvin Ghotbou1 • Mohammad Khansari1
Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Wide-spread use of low power lossy networks (LLNs) in internet of things (IoT) raises numerous challenges to video transmission over those networks. Deployment of proper application layer protocols can overcome some of those challenges and be influential on video transmission over LLNs. Although there are many good researches on application layer protocols in IoT, none of them provide a review for these protocols in video transmission scenarios. In this paper a comparison among some of these protocols including AMQP, CoAP, DDS, MQTT, MQTT-SN, Websocket, XMPP, HTTP 1.1/2.0, RTP and its control protocols such as RTCP is performed. The comparison shows that the nature of LLNs make video transmission an impossible task for some of these protocols and a proper protocol such as CoAP should be adapted to be used in these low power and lossy environments. Keywords IoT LLN Application layer protocols CoAP Multimedia Video transmission
1 Introduction By moving forwards to the fourth industrial revolution, it is possible to benefit from this concept in various domains and applications such as dynamical improvement of organizations efficiency and damage reduction to natural environment [1]. This can happen by fusing every single asset in physical and digital world together by help of Internet of things (IoT) paradigm. Generally, low cost solutions for connecting anything from anywhere, considered as one of the main aspects of IoT. These solutions can make objects interact with each other from various domains such as smart city and smart environment [2]. In this definition, objects can be anything, classified into three scopes named people, machines (e.g. sensors and actuators) and information (e.g. clothes, books and foods) [3] with ability to be identified in at least one unique way (e.g. IPv6). Types of data that can be collected from these & Mohammad Khansari [email protected] Arvin Ghotbou [email protected] 1
Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran
objects have direct influence on functionality and usefulness of IoT solutions. Full realization of Industry 4.0 and IoT paradigm requires utilizing more advance forms of data such as video, image and sound in any required section instead of just a simple environment reading like temperature [4]. This utilization can take these solutions to the next level of functionality. In comparison between different types of data, simplicity of interaction between human being and visual data specially video, beside various information that can be extracted from these kinds of data, has attracted a lot of attention to video transmission over many Internet-based applications. It is predicted that 82% of all Internet traffic will be dedicated to video data by 2021
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