Energy efficiency of slotted LoRaWAN communication with out-of-band synchronization

Although the idea of using wireless links for covering large areas is not new, the advent of LPWANs has recently started changing the game. Simple, robust, narrowband modulation schemes permit the implementation of low-cost radio devices offering high receiver sensitivity, thus improving the overall link budget. The several technologies belonging to the LPWAN family, including the well-known LoRaWAN solution, provide a cost-effective answer to many Internet-of-things (IoT) applications, requiring wireless communication capable of supporting large networks of many devices (e.g., smart metering). Generally, the adopted MAC strategy is based on pure ALOHA, which, among other things, allows to minimize the traffic overhead under constrained duty cycle limitations of the unlicensed bands. Unfortunately, ALOHA suffers from poor scalability, rapidly collapsing in dense networks. This work investigates the design of an improved LoRaWAN MAC scheme based on slotted ALOHA. In particular, the required time dissemination is provided by out-of-band communications leveraging on FM-RDS broadcasting. An experimental setup based on low-cost hardware is used to characterize the obtainable synchronization performance and derive a timing error model. Consequently, improvements in success probability and energy efficiency have been validated by means of simulations in very large networks with up to 10000 nodes. It is shown that the advantage of the proposed scheme over conventional LoRaWAN communication is up to 100% when short update time and large payload are required. Similar results are obtained regarding the energy efficiency improvement, which is close to 100% for relatively short transmission intervals and long message duration; however, due to the additional overhead for listening to the time dissemination messages, efficiency gain can be negative for short-duration messages fastly repeating.

[1]  Ivan Stoianov,et al.  Towards a radio-controlled time synchronized wireless sensor network: A work in-progress paper , 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

[2]  Kai-Hsiang Ke,et al.  Monitoring of Large-Area IoT Sensors Using a LoRa Wireless Mesh Network System: Design and Evaluation , 2018, IEEE Transactions on Instrumentation and Measurement.

[3]  Ingrid Moerman,et al.  A Survey of LoRaWAN for IoT: From Technology to Application , 2018, Sensors.

[4]  Loutfi Nuaymi,et al.  An analytical model for S-ALOHA performance evaluation in M2M networks , 2016, 2017 IEEE International Conference on Communications (ICC).

[5]  Darryl Veitch,et al.  Robust synchronization of software clocks across the internet , 2004, IMC '04.

[6]  Jaime Lloret,et al.  An Integrated IoT Architecture for Smart Metering , 2016, IEEE Communications Magazine.

[7]  Octavia A. Dobre,et al.  5G and IoT: Towards a new era of communications and measurements , 2019, IEEE Instrumentation & Measurement Magazine.

[8]  D. Ruffieux,et al.  A 1.2 mW RDS receiver for portable applications , 2004, IEEE Journal of Solid-State Circuits.

[9]  Luca Benini,et al.  Slotted ALOHA on LoRaWAN-Design, Analysis, and Deployment , 2019, Sensors.

[10]  Tarik Taleb,et al.  Machine-type communications: current status and future perspectives toward 5G systems , 2015, IEEE Communications Magazine.

[11]  Guoliang Xing,et al.  ROCS: Exploiting FM Radio Data System for Clock Calibration in Sensor Networks , 2015, IEEE Transactions on Mobile Computing.

[12]  Konstantin Mikhaylov,et al.  On the coverage of LPWANs: range evaluation and channel attenuation model for LoRa technology , 2015, 2015 14th International Conference on ITS Telecommunications (ITST).

[13]  Fernand Meyer,et al.  A comparative study of LPWAN technologies for large-scale IoT deployment , 2019, ICT Express.

[14]  Davide Magrin,et al.  Performance evaluation of LoRa networks in a smart city scenario , 2017, 2017 IEEE International Conference on Communications (ICC).

[15]  Loutfi Nuaymi,et al.  Evaluation of Macro Diversity Gain in Long Range ALOHA Networks , 2017, IEEE Communications Letters.

[16]  Ingrid Moerman,et al.  Low Overhead Scheduling of LoRa Transmissions for Improved Scalability , 2019, IEEE Internet of Things Journal.

[17]  Yong Liang Guan,et al.  A Comprehensive Study of IoT and WSN MAC Protocols: Research Issues, Challenges and Opportunities , 2018, IEEE Access.

[18]  Sofie Pollin,et al.  Improving Reliability and Scalability of LoRaWANs Through Lightweight Scheduling , 2018, IEEE Internet of Things Journal.

[19]  Emiliano Sisinni,et al.  Inexpensive SDR-based longwave radio controlled clock for time dissemination in industrial wireless sensor networks , 2015, 2015 IEEE International Conference on Automation Science and Engineering (CASE).

[20]  LO’AI A. TAWALBEH,et al.  Greener and Smarter Phones for Future Cities: Characterizing the Impact of GPS Signal Strength on Power Consumption , 2016, IEEE Access.

[21]  Shang Gao,et al.  Design of Multichannel and Multihop Low-Power Wide-Area Network for Aircraft Vibration Monitoring , 2019, IEEE Transactions on Instrumentation and Measurement.

[22]  Lucia Lo Bello,et al.  Industrial LoRa: A Novel Medium Access Strategy for LoRa in Industry 4.0 Applications , 2018, IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society.

[23]  Emiliano Sisinni,et al.  Synchronization Uncertainty Versus Power Efficiency in LoRaWAN Networks , 2019, IEEE Transactions on Instrumentation and Measurement.

[24]  Liesbet Van der Perre,et al.  Cross-Layer Framework and Optimization for Efficient Use of the Energy Budget of IoT Nodes , 2019, 2019 IEEE Wireless Communications and Networking Conference (WCNC).

[25]  Emiliano Sisinni,et al.  Evaluation of the IoT LoRaWAN Solution for Distributed Measurement Applications , 2017, IEEE Transactions on Instrumentation and Measurement.

[26]  Michele Magno,et al.  Long-short range communication network leveraging LoRa™ and wake-up receiver , 2018, Microprocess. Microsystems.

[27]  Dirk Pesch,et al.  $FREE$ —Fine-Grained Scheduling for Reliable and Energy-Efficient Data Collection in LoRaWAN , 2018, IEEE Internet of Things Journal.

[28]  Peter Crossley,et al.  Design of a Time Synchronization System Based on GPS and IEEE 1588 for Transmission Substations , 2017, IEEE Transactions on Power Delivery.