Intelligent edge computing enabled reliable emergency data transmission and energy efficient offloading in 6TiSCH-based IIoT networks

Author:

Rafiq Ahsan,Ali Muthanna Mohammed Saleh,Muthanna Ammar,Alkanhel Reem,Abdullah Wadhah Ahmed Muthanna,Abd El-Latif Ahmed A.

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference44 articles.

1. A Comprehensive Survey of Industry 4.0;Ainsworth;IIoT and Areas of Implementation SoutheastCon,2021

2. Congestion Detection and Control for 6TiSCH Networks in IIoT Applications;Farag,2020

3. Opportunistic Transmission of Control Packets for Faster Formation of 6TiSCH Network;Kalita;ACM Transactions on Internet of Things,2020

4. Edge computational task offloading scheme using reinforcement learning for IIoT scenario;Hossain;ICT Express,2020

5. Mitigation Impact of Energy and Time Delay for Computation Offloading in an Industrial IoT Environment Using Levenshtein Distance Algorithm;Rafiq;Security and Communication Networks,2022

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1. FSLEdge: An energy-aware edge intelligence framework based on Federated Split Learning for Industrial Internet of Things;Expert Systems with Applications;2024-12

2. 6TiSCH IIoT Network: A Review;Computer Networks;2024-09

3. Communication and computational resource optimization for Industry 5.0 smart devices empowered by MEC;Journal of King Saud University - Computer and Information Sciences;2024-01

4. Network Resources Optimization Algorithm for Robotic Systems in 6G Networks;Lecture Notes in Computer Science;2024

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