Internet of things intercommunication using socketio and WebSocket with WebRTC in local area network as emergency communication devices

Nur Izzaty, Ariffin and Muhd Aidil Syazwan, Hamdan and Syafiq Fauzi, Kamarulzaman (2023) Internet of things intercommunication using socketio and WebSocket with WebRTC in local area network as emergency communication devices. In: 8th International Conference on Software Engineering and Computer Systems, ICSECS 2023 , 25-27 August 2023 , Penang. pp. 268-273. (192961). ISBN 979-835031093-1

Pdf
Internet of things intercommunication using SocketIO and WebSocket.pdf
Restricted to Repository staff only
Download (465kB) | Request a copy

Preview

Pdf
Internet of things intercommunication using socketio and WebSocket with WebRTC in local area network as emergency communication devices_ABS.pdf
Download (240kB) | Preview

DOI/Official URL: https://doi.org/10.1109/ICSECS58457.2023.10256297

Abstract

The Emergency Intercom System (EIS) is a communication and video conferencing system designed to enhance emergency response in areas, such as malfunctioning lifts. This paper presents a feasibility analysis of EIS as internet of things device, focusing on the utilization of WebRTC over WebSocket, Socket.io, and LAN device hostname assignment. The study evaluates performance metrics including latency, throughput, dropped calls, lost packets, audio and video quality, resource utilization, and network bandwidth. The results indicate that EIS offers acceptable latency, sufficient throughput for simultaneous calls, minimal dropped calls and lost packets, and satisfactory audio and video quality. The system demonstrates effective communication and video conferencing capabilities, making it a promising solution for improving emergency response in areas. The findings highlight the potential for further research to optimize performance, address security considerations, and extend the system's applicability in diverse emergency scenarios.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	Internet of Things; Socket.io; WebRTC
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General)
Faculty/Division:	Faculty of Computing
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	16 Apr 2024 04:10
Last Modified:	16 Apr 2024 04:10
URI:	http://umpir.ump.edu.my/id/eprint/40332
Download Statistic:	View Download Statistics

Actions (login required)

View Item