Early access articles

Infocommunications Journal provides early access publications for articles that have been reviewed and accepted. This practice allows the scientific community to find and read the latest proceedings in the infocommunications domain. Papers appearing in the early access section are under completion for upcoming journal issues.

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Title

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Guangmao Li, Gang Du, Hongbin Wang, Hongling Zhou, Jie Yang, and Zhikai Pang

Distributed Edge Computing Aided Environmental Severity Monitoring for Power Grid Equipment in Nakagami-m Fading Channels 

Edge computing, offloading optimization, outage probability, Nakagami-m fading

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EARLY ACCESS ARTICLES

 

Guangmao Li, Gang Du, Hongbin Wang, Hongling Zhou, Jie Yang, and Zhikai Pang
Distributed Edge Computing Aided Environmental Severity Monitoring for Power Grid Equipment in Nakagami-m Fading Channels

This study explores the concept of multiuser mobile edge computing (MEC) networks aided environmental severity monitoring for power grid equipment, where an MEC server facilitates the computation of tasks from N users via wireless transmission in the presence of Nakagami-m fading channels. To analyze the system performance, we first define the system outage probability based on energy consumption, where the outage event is triggered when the energy required to complete the users’ tasks exceeds a specified threshold. We then develop an analytical expression for the system outage probability in Nakagami-m fading channels and provide a high signal-to-noise ratio (SNR) asymptotic analysis. Additionally, we optimize the system performance by adjusting the task offloading ratios. Finally, simulation and numerical results in Nakagami-m fading channels validate the proposed methods. The results show that the performance of multiuser MEC networks can be improved by increasing the bandwidth or energy consumption threshold for environmental severity monitoring in power grid equipments.

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Cite: Guangmao Li, Gang Du, Hongbin Wang, Hongling Zhou, Jie Yang, and Zhikai Pang, "Distributed Edge Computing Aided Environmental Severity Monitoring for Power Grid Equipment in Nakagami-m Fading Channels", Infocommunications Journal