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Multimedia IoT-surveillance optimization model using mobile-edge authentic computing.

Faten S Alamri1, Khalid Haseeb2, Tanzila Saba2

  • 1Department of Mathematical Sciences, College of Science, Princess Nourah Bint Abdulrahman University, P.O.Box 84428, Riyadh, 11671, Saudi Arabia.

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Summary
This summary is machine-generated.

This study introduces an optimized multimedia system for the Internet of Things (IoT) using edge computing and authentication. The model enhances data transmission efficiency and network security for multimedia surveillance systems.

Keywords:
Multimedia networksedge computingemerging technologiesfuture networksinfrastructural development

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Area of Science:

  • Computer Science
  • Network Engineering
  • Information Security

Background:

  • The Internet of Things (IoT) generates vast multimedia data, posing challenges in bandwidth management and timely transmission.
  • Existing IoT systems struggle with efficient multimedia data processing and secure data transfer.
  • There is a need for intelligent, sustainable solutions balancing performance and communication costs in IoT multimedia systems.

Purpose of the Study:

  • To propose a novel model for optimizing multimedia data transmission in IoT environments.
  • To enhance the reliability and security of multimedia data in IoT systems through intelligent strategies.
  • To address challenges in bandwidth utilization, data loss, and network stability.

Main Methods:

  • Integration of edge computing for real-time network state analysis and system status discovery.
  • Implementation of a hybrid authentication approach (direct and indirect) to ensure data forwarder reliability.
  • Development of a model optimizing multimedia data processing and transmission using mobile edge intelligence.

Main Results:

  • The proposed model demonstrated superior performance in key metrics including byte delivery, packet overhead, and packet delay.
  • The authentication strategies significantly minimized data compromise and bolstered trust in multimedia surveillance.
  • Edge computing effectively minimized communication disruptions and improved overall system stability.

Conclusions:

  • The combined approach of edge computing and robust authentication offers an effective solution for multimedia IoT systems.
  • The model provides a sustainable and intelligent framework for managing multimedia traffic in complex network environments.
  • This research advances smart communication paradigms by enhancing trust and efficiency in multimedia data handling.