Resource Allocation Techniques for extending the performance of Long-Range Network

Abstract

Internet of Things (IoT) finds the applications in various domains such as transportation system, health monitoring, and home security. Most of the IoT devices are powered by the battery and do not support power hungry solutions. Long-Range (LoRa) is one of the networking protocols which support IoT because it covers the advantages of both short-range and long-range communication protocols, i.e., it consumes low energy and provides long distance communication. LoRa network consists of a large number of devices in the network and therefore it suffers from the interference problem in the network. Effective allocation of the resources in LoRa reduces the interference problem and enhances the throughput of the network. In this thesis, we address various issues in LoRa network. We propose resource allocation techniques for extending the performance of LoRa network. The experimental results showed that the proposed techniques can enhance the network performance. © 2021 ACM.