Improving Reliability and Fairness of LoRaWAN-based Advanced Metering Infrastructure

Tanakian, Mohamad Javad; Mehrjoo, Mehri; Noferesti, Samira

doi:10.24200/sci.2023.62049.7617

Improving Reliability and Fairness of LoRaWAN-based Advanced Metering Infrastructure

Articles in Press

Document Type : Article

Authors

¹ Department of Telecommunication Engineering, Faculty of Electrical & Computer Engineering, University of Sistan and Baluchestan, Zahedan, Iran

² Department of Information Technology Engineering, Faculty of Electrical & Computer Engineering, University of Sistan and Baluchestan, Zahedan, Iran

10.24200/sci.2023.62049.7617

Abstract

Designing a reliable telecommunication network for Advanced Metering Infrastructure (AMI) is crucial. This paper focuses on using LoRaWAN as the network and improving transmission reliability while maintaining fairness among smart meters. The Spreading Factor (SF) of LoRaWAN is used to control Packet Delivery Ratio (PDR) and measure reliability. Higher SFs increase redundancy and reliability, but collisions can occur between meters with the same SF. To optimize SF assignment, an SF assignment problem is solved to maximize the minimum achievable PDR, ensuring fairness. A novel solution called Reliable SF Assignment (RSFA) using a game of learning automata is proposed. Simulation results demonstrate that RSFA outperforms four conventional SF assignment approaches (ADR, AD MAIORA, CA-ADR, and EWS). RSFA improves packet collision rate, PDR, the number of served meters, and fairness index, albeit with a slight increase in transmission delay.

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