Cluster based hybrid flamingo hazelnut tree with improved marine predators for fault tolerant energy efficient routing in wireless sensor network

In the deployment of Wireless Sensor Networks (WSNs), fault tolerance and energy consumption are the two crucial challenges. For this, clustering is the most effective energy-saving techniques for extending throughput and enhancing fault tolerance. The most energy saving method for extending network lifespan is clustering method. Therefore, Cluster based Hybrid Flamingo Hazelnut Tree with Improved Marine Predators for Energy Efficient Fault Tolerant Routing in WSN (CHFHIM-EEFR) is proposed for Main Cluster Head (MainCH)election and optimum routing in the network. Initially Hybrid Flamingo Hazelnut tree search algorithm is utilized to elect the MainCH on the basis offitness function. Based on the selected MainCH, Back Up Node (BCH) is selected for improving the fault tolerant. A harmful node enters after the BCH-based MainCH selection; therefore, an Improved Marine Predators Algorithm (Im-MPA) is utilized for choosing the most efficient route out of the multiple paths. Finally, the secure data communication is done in the optimum trust path. The developed approach is executed in Network Simulator and validated with the existing protocols. The simulations outcomes show that the CHFHIM-EEFRmethod attains 2.2mslowerdelay, 99.95% higher PDR99% high throughput, 20.3 ms low time complexity and 99.98 Mbps high network life time.