Abstract
Background: The Internet of Things (IoT) is widely used because of the connectivity of devices with the Internet which provides accessibility, quick transmission, and broader coverage. IoT networks provide vast connectivity but finding the best path for sharing information is a big challenge because of limited resources like limited power and limited bandwidth. The routing protocol for low power lossy network (RPL) is standard protocol but it selects a node that has already been selected in a busty network. Methods: The fog computing technique is combined with RPL and the new objective function is used to design FOG-RPL which is the optimum routing protocol that reduces the network load using the fog computing principle and selects the right node using the new objective function. Results: The simulation is performed and experimental results show that FOG-RPL gives better results in terms of improvement and in terms of performance parameters. Conclusion: The FOG-RPL protocol uses the fog computing principle with a new objective function and performance analysis shows that as compared to the existing routing protocol, it is more efficient.
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