Abstract
The Internet of Things (IoT) facilitates real-time connectivity of objects, allowing for access from anywhere
at any time. For IoT Low-Power and Lossy Networks (LLNs), the Routing Protocol for Low-Power and
Lossy Networks (RPL) has been introduced. In RPL-based topologies, the rank of nodes reflects their
positions within the network, calculated by adding the rank of a node's preferred parent to the link metric
between them. However, due to inaccuracies in assigning link metric values to neighboring nodes, frequent
changes in preferred parent selection occur, resulting in significant control overhead, increased energy
consumption, higher latency, and degraded Packet Delivery Ratio (PDR). This paper presents an optimized
path selection method that ensures the most stable and optimal choice of preferred parents for nodes.
Using the Cooja simulator under various network densities, the proposed approach demonstrates a 73%
reduction in preferred parent changes, a 49% decrease in control overhead, and a 50% reduction in total
energy consumption. Additionally, it improves PDR by 46% and reduces latency by 2.81 seconds.
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