Abstract
The Internet of Medical Things (IoMT) has revolutionized healthcare by enabling seamless connectivity among medical devices for real-time monitoring and diagnosis. However, the dynamic nature and resource constraints of IoMT networks present significant challenges in ensuring energy efficiency, reliable communication, and optimal performance. For addressing the mentioned issues and challenges, we propose a comprehensive routing framework, Improved Distance and Energy Aware Link Stability (IDEALS) protocol, designed to optimise distance, Energy Consumption (EC), and Link Stability (LS). Our protocol incorporates a distance-aware routing mechanism to minimize Path Loss (PL), an Energy-Efficient (EE) communication approach to extend Network Lifetime (NLT), and LS prediction algorithm for enhancing reliability in dynamic environments. Additionally, it considers the integration of Random Waypoint Mobility (RWM) and Gauss-Markov Mobility (GMM) models for static and dynamic mobility of the nodes within the network. The IDEALS protocol uses a smart decision-making method. This helps it manage key factors well regarding the node movement and static factors. It's great for IoMT applications because it scales and adapts easily. The protocol is evaluated with state-of-the-art (SOTA) protocols regarding different evaluation metrics. Simulations show that IDEALS performs better than other protocols. It measures how quickly nodes fail and how well data is delivered. It also performs well in big networks, busy areas, and when devices are moving around. IDEALS is a solid choice for solving challenges in IoMT networks. It helps make healthcare delivery more efficient and reliable across different situations.