DENSITY AND DISTRIBUTION OF LORA BASIC STATIONS IN THE «SMART CITY»

This work considers two main challenges associated with one of the most common and recent used IoT network, which is Low Power Wide Area Networks (LPWAN). The first challenge is the energy constraints associated with the design of and the problem of massive traffic results from the huge number of deployed devices. This work presents two main clustering algo-rithms developed for LoRa based LPWAN. One clustering algorithm considers the base stations and gateways distribution through the network in a way that achieves the best coverage and highest system reliability. This clustering algorithm is stat-ic. The second clustering algorithm considers clustering of distributed devices related to each base station to achieve higher energy and latency efficiency. This algorithm is dynamic. Both algorithms are mainly considered for dense LoRa based IoT networks (i. g. smart city networks). The proposed algorithms are based on the two common clustering methods; FOREL and K-meansThe proposed algorithms are implemented, for dense IoT network with various intensities, for performance evalua-tion.

Authors: Yu. T. Lyachek, M. C. A. Muthanna, S. S. S. Nasser, M. M. A. Muthanna

Direction: Informatics, Computer Technologies And Control

Keywords: Internet of things, dense networks, LPWAN, LoRa, gateway, clustering, energy

---

View full article