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Leveraging data aggregation algorithm in LoRa networks

The Journal of Supercomputing (2022)Cite this article

Abstract

Long Range (LoRa) is an interference-free, single-hop, low-power wide area network (LPWAN) technology. LoRa offers customization of its physical layer parameters like spreading factor, coding rate, bandwidth, and transmission power to achieve high network coverage. Requirements for high coverage precipice the problem of high energy consumption. As a solution, our article presents an energy-efficient data packet aggregation scheme for LoRa communication to reduce high energy consumption. We propose a load balancing algorithm that yields better results in network communication. On comparing data aggregation strategy in LoRa with conventional star connected LoRa communication, and with other existing protocols our approach shows significant improvement in performance and energy saving. By adopting our strategy, conventional LoRa networks can achieve a longer lifetime and network stability.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Birla Institute of Technology, Mesra, Ranchi, Jharkhand, 835215, India

    Sakshi Gupta & Itu Snigdh

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  1. Sakshi Gupta
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  2. Itu Snigdh
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Correspondence to Sakshi Gupta.

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Gupta, S., Snigdh, I. Leveraging data aggregation algorithm in LoRa networks. J Supercomput (2022). https://doi.org/10.1007/s11227-022-04534-z

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  • DOI: https://doi.org/10.1007/s11227-022-04534-z

Keywords

  • Packet aggregation
  • LoRa
  • Energy consumption
  • Node density