EES-RPL: Energy Efficient Secure-based RPL OF for IoT Network

The Internet of Things (IoT) framework is the richest network that provides interconnection to different devices or objects to exchange their information with each other without human intervention. These devices are resource-constrained and have a limited transmission range to communicate over the network. For this reason, low-power and lossy networks (LLNs) have been introduced for effective communication. This network uses the RPL (IPv6 Routing Protocol for Low-Power and Lossy Networks) for data transmission based on objective functions. The standard Objective Functions (OF) of RPL are OF0 and MRHOF which suffer from low security and more energy consumption due to the use of a single metric to calculate the rank of the node. These OFs are not suitable for many IoT applications. To mitigate these issues, we proposed an energy-efficient objective function with a trust-based Intrusion Detection System (EESRPL) to provide defense against sinkhole attacks. The suggested work use the fuzzy weighted sum model for calculating the path cost by considering the ETX, energy, and trust value of each node to select the best parent. The performance analysis of the proposed work, EES-RPL compared with the default OF of RPL, MRHOF, and existing algorithm CAFOR in terms of packet loss rate, energy consumption, latency, and average network throughput. The simulation results show that the EESRPL outperforms the existing works.