Design of an Energy Optimized Routing Algorithm for Efficient and Reliable Data Transmission in Lorawan Networks

Abstract

The study proposes an innovative routing algorithm to address energy efficiency and reliable data transmission challenges in LoRaWAN networks, particularly in resource-constrained IoT environments. Existing algorithms are inefficient, leading to increased energy usage due to unnecessary data transmission, extended hop counts, and excessive node activity. Congestion in dense and large-scale IoT networks also increases energy consumption. Advanced routing techniques, such as machine learning and optimization-based algorithms, have high computational requirements and lack adaptability. Security is another significant challenge, as robust protocols often increase energy consumption. The algorithm aims to minimize energy consumption by optimizing data transmission paths, reducing hop counts, and intelligently managing node activity. It incorporates adaptive mechanisms to respond dynamically to network changes and traffic patterns, ensuring sustained performance in evolving environments. The algorithm will be tested for scalability and performance in real-world IoT scenarios, focusing on energy efficiency, network reliability, and data security.