L3SFA: Load Shifting Strategy for Spreading Factor Allocation in LoRaWAN Systems

摘要: LoRaWAN Enabled networks are expected to have a dizzying growth. Thus, an efficient allocation of wireless resources so as support large number nodes is major concern. In this paper we propose SF assignment approach paying attention on the traffic load both per Spreading Factor and over channels. Indeed, our strategy consists in finding better distribution by orchestrating effective balancing. Moreover, performance solution evaluated under diverse network configurations taking into account capture effect non-orthogonality SFs. addition, validated some assumptions full-scale experiments like for 3GPP path loss model which used first time LoRa simulations. Our results suggest that Load Shifting leads terms DER (Date Extraction Rate) while guaranteeing good scalability size density.