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ASM Sc. J., (1), 2026
Published on June 25, 2026
https://doi.org/10.32802/asmscj.2026.1001
Author: Rizki Dian Rahayani, Nirmal K.C Nair, Yuli Triyani, Noptin Harpawi
Abstract
Reliable communication infrastructure is essential for electric vehicle (EV) charging systems, particularly in Truck Mobile Charging Stations (TMCS), where operational and billing data must be securely transmitted to utility data centres through Advanced M etering Infrastructure (AMI). Selecting an appropriate communication technology for AMI in TMCS is challenging because multiple technical criteria must be evaluated simultaneously. This study proposes a dual -stage multi-criteria decision-making (MCDM) framework integrating the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) to assess candidate communication technologies. Four criteria are considered: data rate, battery lifespan, latency, and communication range. AHP determines the relative importance of these criteria, while TOPSIS ranks five Low Power Wide Area Network (LPWAN) technologies: NB -IoT, LTE-M, LoRaWAN, Weightless, and Wi-SUN. Results show that communication range is the most influe ntial criterion (weight = 0.507), followed by data rate, battery lifespan, and latency. LTE -M achieves the highest closeness coefficient (0.89) and is identified as the most suitable technology. Sensitivity analysis confirms the robustness of the ranking results.
Keywords: AHP, AMI Communication, TMCS, TOPSIS
How to Cite
2026. Dual-Stage AHP-TOPSIS Approach for AMI Communication Technology Selection in TMCS. ASM Science Journal, (1), 1-. https://doi.org/10.32802/asmscj.2026.1001

Dual-Stage AHP-TOPSIS Approach for AMI Communication Technology Selection in TMCS