Abstract
Wireless sensor network (WSN) represents the integration of node, Base Station and Cluster Head (CH). The fundamental unit of WSN is nodes, which are set with less computational ability, power, and memory. The remote grouping of sensor nodes provokes issues of sustainability. The fault is inevitable in WSN as it comprises remote grouping and a constrained model. Several techniques are devised to deal with various WSN faults. This paper presents a fault-tolerant multi-path routing technique in WSN. Initially, the simulation of WSN is performed via wsnsimpy0.2.5 tool. Then, the clustering is performed using Low-Energy Adaptive Clustering Hierarchy protocol for choosing optimum CH. In addition, the multipath routing is performed with proposed Conditional Improved Invasive Elephant Herding Optimization (CIIEHO) for choosing the multiple paths for improving the process of routing. The fitness is newly devised considering various factors, such as inter-cluster distance, energy, error, link quality, intra-cluster distance, and delay. The devised CIIEHO is formed by combining Conditional Autoregressive Value at Risk (CAViaR), Improved Invasive Weed Optimization Algorithm, and the Elephant Herding Optimization. The proposed CIIEHO offered enhanced results with high energy of 0.9992 J, small distance of 15.815, less delay of 0.1022 s, and the highest throughput of 0.999.
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Vishal Sharad, H., Desai, S.R. & Krishnrao, K.Y. Fault-Tolerant Multi-path Data Communication Mechanism in WSN Based on Optimization Enabled Routing. Wireless Pers Commun 125, 841–859 (2022). https://doi.org/10.1007/s11277-022-09580-7
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DOI: https://doi.org/10.1007/s11277-022-09580-7