The Internet of Things (IoT) and the Wireless Sensor Network (WSN) concepts are currently combined to improve data transmission based on sensors in near future applications. Since IoT devices exist in WSN with built-in batteries, power efficiency is a challenge that must be resolved. Clustering and routing are effectively treated as methods for reducing the dissipation of energy and maximising WSN IoT support life. This paper presents the new Energy Aware Adaptive Fuzzy neuro clustering with the WSN assisted IoT algorithm EAANFC-MR. EAANFC-MR is proposed for two main stages, clustering and multihop routing on the basis of EAANFCs. For selecting CHs with Residual Energy (RE) and Distance and Node degrees the EAANFC based cluster technique is used. The QOB-FO algorithm, which is used as a Multihop Route Technique, is then used to select optimised roads to the destination. MATLAB is used to simulate the proposed EAANFC-MR model. The goodness of the EAANFC-MR model interspersed with various aspects was demonstrated through a series of experiments.

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Summary In Free Space Optic Mobile Ad hoc Networks (FSO MANET), during data transmission through hierarchical routing protocol, the route failure may either occur if the node has expired due to energy drain or if the node is not positioned with the succeeding hop node owing to mobility. To circumvent these obstacles, in this work, a cross layered reconfigurable protocol for routing with multiple transceivers called as optical sphere in FSO MANET is developed in NS‐2. In this protocol, the nodes are clustered, and the cluster head is selected using network source connector. If any of the cluster member expire due to energy drain and if the alternate path is not available in the routing table, then the source will perform route reconfiguration to change the orientation and transmission radius of the node resulting in direct transmission of packet to cluster head. During data transmission through re‐configured route, if the node interface is positioned with respect to the succeeding hop node, then the packet can be delivered. Otherwise, per‐flow buffer algorithm is used for re alignment. Results simulated show that the proposed protocol surpasses the existing works in terms of delay, delivery ratio, and residual energy.