Energy Trade-off for Computation Offloading in Mobile Edge Computing

Triyanto, D and Mustika, I W and Widyawan, Widyawan (2023) Energy Trade-off for Computation Offloading in Mobile Edge Computing. In: 2023 15th International Conference on Information Technology and Electrical Engineering (ICITEE), 26-27 October 2023, Chiang Mai, Thailand.

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Abstract

Mobile devices (MDs) have a number of restrictions in terms of battery life, processing power, and storage space due to the growing demand for larger computational capabilities in application. Offloading computationally demanding work to MEC servers has been an answer to this problem. By considering several variables such as distance, transmission rate, CPU frequency, and transmission power, we did some simulations to assess the effectiveness of various offloading scenarios. The energy trade-off involved in this process was examined in this research with a focus on the possible energy savings provided by offloading. To optimize energy consumption in MEC systems, this study examined the advantages and drawbacks of offloading. © 2023 IEEE.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Battery life; Computation offloading; Economic and social effects; Electric power transmission Energy conservation,Energy trade-off,Energy utilization,Green computing,Local execution,Mobile Edge Computing,Mobile edge computing,Power spaces,Processing power,Storage spaces,Trade off,Transmission energy,Transmissions,energy trade-off,local execution,transmission energy
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Divisions: Faculty of Engineering > Electrical and Information Technology Department
Depositing User: Rita Yulianti Yulianti
Date Deposited: 21 Aug 2024 03:09
Last Modified: 21 Aug 2024 03:09
URI: https://ir.lib.ugm.ac.id/id/eprint/113

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