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A Novel Energy Efficient Method for LoRa Network with Practical Implementation

Hosseini Tehrani, Yas | 2021

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  1. Type of Document: Ph.D. Dissertation
  2. Language: Farsi
  3. Document No: 54075 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Atarodi, Mojtaba; Amini, Arash
  7. Abstract:
  8. The Internet of things (IoT) is an emerging technology, encompassing wide aspects of applications. It provides intelligent connections between objects, devices, and living creatures. The IoT devices are mostly powered by limited energy sources like batteries. Therefore, optimizing their power consumption is necessary. First, this idea will be examined from different perspectives and then its applications and challenges in various fields and areas will be presented. The IoT applications require low-cost, low-energy, reliable, robust, secure, and scalable networks. The Low-power Wide-Area Network (LPWAN) is considered as one of the most potential solutions for IoT in the near future due to its low power consumption, wide communication range, and low price features. Therefore, the LPWAN leading technologies such as LoRa, Sigfox, and NB-IoT are examined and compared in terms of technical, commercial, financial, and practical specifications. According to studies, the LoRa technology is selected due to its prior performance in local smart metering applications. The existing LoRa networks are based on the star topology. In this thesis, a tree network adopted for the LoRa technology and a communication protocol are proposed to mitigate the energy consumption constraints. In the proposed network, the nodes are self-configured based on the LoRa physical link behavior and can act as relays to propagate data from other nodes. The analysis, design, and evaluation of the proposed architecture for large-scale LoRa networks are presented in detail. With analytical studies, the energy consumption of the star and tree LoRa networks are compared. The presented analytical results can provide developers with effective guidelines for scalable design and optimization of LoRa networks. Further, the results are verified using simulation and experimental tests. In order to evaluate the proposed algorithms, a real-time power consumption measurement circuit is required for each node of the network. The power consumption measurement circuit must have a high linear range, high accuracy, and high-speed response. The proposed power measurement circuit is introduced and its transfer function is calculated. Also, circuit stabilization and noise analysis are provided. The implemented Lora network consists of 35 nodes and one gateway. In this network, each node consists of the proposed power consumption measurement system, LoRa-based transceiver module, controller, power supply, and computer communication section. The measured power consumption of each node is sent to the gateway. Both simulation and experimental results confirm that the presented method improves the energy consumption of the entire IoT network significantly. As a result, the presented tree network can be deployed in various applications
  9. Keywords:
  10. Internet of Things ; Energy Consumption Improvement ; Low-Power Wide-Area Network (LPWAN) ; Tree Topology ; Star Topology ; LoRa Technology ; Energy Consumption Optimization

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