A Proposed approach for multipath routing in IoT Network using FIS

In an Internet of Things network, multipath routing applies a fuzzy logic method to minimize energy consumption, end-to-end latency, and ETX (expected transmission count). Consider the three factors as inputs for improving QoS in low-power, lossy networks. This paper presents a unique adaptive fuzzy multi-criteria decision making approach for determining the ideal next hop from multipath routing to reach the destination node, as well as a fuzzy inference system to display the findings using a membership function. The proposed technique also priorities the route, which will assist in picking the best way among several options. Unlike previous techniques, it depends on non-QoS-affected channels for fast data transmission. It also increases network lifetime by changing cluster heads on a regular basis based on residual energy and employing the appropriate amount of data transmission links. The RPL objective function was created using fuzzy logic, and the results were utilized to discover the optimal answer. Furthermore, the suggested adaptive fuzzy multi-criteria decision making approach outperforms existing state-of-the-art competing techniques in terms of energy efficiency and lifetime.