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        <identifier>oai:drops-oai.dagstuhl.de:23588</identifier>
        <datestamp>2025-10-27T10:21:48Z</datestamp>
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          <dc:title>LoRaHART: Hardware-Aware Real-Time Scheduling for LoRa</dc:title>
          <dc:creator>Sahoo, Soumya Ranjan</dc:creator>
          <dc:creator>Gamage, Amalinda</dc:creator>
          <dc:creator>Kumar, Niraj</dc:creator>
          <dc:creator>Easwaran, Arvind</dc:creator>
          <dc:subject>LoRa</dc:subject>
          <dc:subject>LPWAN</dc:subject>
          <dc:subject>Real-time Scheduling</dc:subject>
          <dc:subject>Hardware Constraints</dc:subject>
          <dc:description>Time-sensitive data acquisition is critical for many Low-Power Wide-Area Network (LPWAN) applications, such as healthcare monitoring and industrial Internet of Things. Among the available LPWAN technologies, LoRa (Long Range) has emerged as a leading choice, offering kilometer-scale communication with minimal power consumption and enabling high-density deployments across large areas. However, the conventional ALOHA-based Medium Access Control (MAC) in LoRa is not designed to support real-time communication over large-scale networks. This paper introduces LoRaHART, a novel approach that overcomes two critical, under-explored limitations in Commercial Off The Shelf (COTS) LoRa gateways that impact real-time performance. LoRa gateways have limited capacity for demodulation of parallel transmissions and their antenna can either transmit or receive at any time instant. LoRaHART incorporates a hardware-aware super-frame structure, comprising both Time Division Multiple Access (TDMA) slots as well as opportunistic retransmissions using Carrier Sense Multiple Access (CSMA), designed to mitigate the above constraints. We use a partial packing and makespan minimization algorithm to schedule periodic real-time transmissions efficiently within the TDMA slots, and also develop a probabilistic node contention model for CSMA retransmissions, providing analytical guarantees for deadline satisfaction under ideal channel conditions. Our evaluation of LoRaHART on a 40-node LoRa testbed demonstrates significant improvements over existing solutions in practice, achieving an average Packet Reception Ratio of 98% and a 45% higher airtime utilization than the best performing baseline.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Soumya Ranjan Sahoo and Amalinda Gamage and Niraj Kumar and Arvind Easwaran</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 335, 37th Euromicro Conference on Real-Time Systems (ECRTS 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ECRTS.2025.10</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-235880</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2025.10</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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