Hybrid WebRTC Signalling for Conferencing

 

Design and Implement A Hybrid WebRTC Signalling Mechanism for Unidirectional & Bi-directional Video Conferencing

International Journal of Computer Science & Network Security

• Volume 24 Issue 9
 
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• Pages.186-194
 
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• 2024
 
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• 1738-7906(pISSN)
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  • • doi: 10.22937/IJCSNS.2024.24.9.21

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)

WebRTC (Web Real-Time Communication) is a technology that enables browser-to-browser communication. Therefore, a signalling mechanism must be negotiated to create a connection between peers. The main aim of this paper is to create and implement a WebRTC hybrid signalling mechanism named (WebNSM) for video conferencing based on the Socket.io (API) mechanism. WebNSM was designed over different topologies such as simplex, star and mesh. Therefore it offers several communications at the same time such as one-to-one (unidirectional/bidirectional), one-to-many (unidirectional) and many-to-many (bi-directional) without any downloading or installation. In this paper, WebRTC video conferencing was accomplished via LAN and WAN networks, including the evaluation of resources in WebRTC like bandwidth consumption, CPU performance, memory usage, Quality of Experience (QoE) and maximum links and RTPs calculation. This paper presents a novel signalling mechanism among different users, devices and networks to offer video conferencing using various topologies at the same time, as well as other typical features such as using the same server, determining room initiator, keeping the communication active even if the initiator or another peer leaves, etc. This scenario highlights the limitations of CPU performance, bandwidth consumption and the use of different topologies for WebRTC video conferencing

Cited: Edan, N., Al-Sherbaz, A. and Turner, S. (2024) “Design and Implement A Hybrid WebRTC Signalling Mechanism for Unidirectional & Bi-directional Video Conferencing,” International Journal of Computer Science and Network Security. International Journal of Computer Science and Network Security, 24(9), pp. 186–194. doi: 10.22937/IJCSNS.2024.24.9.21

 Unveiling Pollution Peaks: Comparing Swarm Intelligence with Drone Hill Climber

• September 2024

• DOI: 
• 10.1109/SISY62279.2024.10737602

• Conference: 2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY)

Produce using ChatGPT

Abstract:

Climate Change has become an accelerating problem in recent years due to pollutants like greenhouse gases, with carbon dioxide being the most prominent. Similarly in time, works on the application and development of swarm intelligence using drones, along with the use of drones to monitor air pollution/ source discovery, have been carried out in isolation to date. This paper presents an investigation to discover multiple pollution sources using a variety of existing swarm intelligence algorithms, through simulated drones. This paper also presents a bespoke Drone Hill Climber (DHC) algorithm that introduces the novel of multiple drones each flying on their own set paths, with the aim of finding multiple pollution peaks at efficient speeds.

O. J. Prior, M. A. Hannan Bin Azhar, V. Sahota and S. Turner, "Unveiling Pollution Peaks: Comparing Swarm Intelligence with Drone Hill Climber," 2024 IEEE 22nd Jubilee International Symposium on Intelligent Systems and Informatics (SISY), Pula, Croatia, 2024, pp. 399-404, doi: 10.1109/SISY62279.2024.10737602.
keywords: {Climate change;Pollution;Carbon dioxide;Particle swarm optimization;Intelligent systems;Informatics;Greenhouse gases;Monitoring;Drones;Swarm Intelligence;Drones;Air Pollution Monitoring;Climate Change;Particle Swarm Optimisation;Firefly Algorithm;Artificial Bee Colony;Simulations},