Intelligent Energy Efficient Parent Selection and Routing with Dynamic Power Level in Low Power and Lossy Networks

Abstract

Energy consumption continues to pose a critical challenge within wireless sensor networks, despite strides made in refining energy-efficient hardware components and tailoring protocols for specific application needs. Low-power and lossy networks are specifically designed to support IoT devices characterized by limited power, computational capabilities, and memory. These networks facilitate seamless data exchange and connectivity, forming the backbone of IoT applications and driving innovation in both everyday life and industry. The need for a specialized routing protocol, such as the Routing Protocol for Low-Power and Lossy Networks (RPL), is paramount due to the unique challenges these networks face. The design of RPL aims to offer an efficient, scalable, and adaptable routing solution that supports IPv6, enabling seamless integration with the broader internet and facilitating the deployment of IoT applications. It employs a tree-based topology constructed using an objective function (OF), which is usercustomizable for parent selection. The limited battery energy and energy-intensive wireless transmissions, influenced by unpredictable terrains, demand ongoing exploration of efficient energy-saving methods and innovative technologies. These endeavors are crucial for extending the lifespan of networks while upholding their peak operational performance. Since most IoT applications are long-term in nature, frequent battery changes are difficult. Data transmission accounts for a significant portion of a node s energy consumption. Current industrial communication nodes offer various transmit power levels. In many scenarios, communicating with a neighboring node does not require the high power levels used in conventional systems. As a result, determining the minimal power level required to reach the neighboring node can help prevent the unnecessary use of higher power levels. Current research inadequately addresses the dynamic adaptability of transmit power control mechanisms to rapidly changing network conditions....