Fault-Tolerant Multi-path Data Communication Mechanism in WSN Based on Optimization Enabled Routing

Sharad, Hingmire Vishal; Desai, Santosh R.; Krishnrao, Kanse Yuvraj

doi:10.1007/s11277-022-09580-7

Cited by 8 publications

(1 citation statement)

References 30 publications

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“…In the proposed scheme, faulty nodes are identified, and partial faulty nodes are used to handle the faults in WSN. Sharad et al [41] presented a multipath fault-tolerant routing framework utilizing clustering for WSN. In the proposed framework, an enhanced version of elephant herding optimization is proposed for selecting the multiple routes.…”

Section: Related Workmentioning

confidence: 99%

Towards Enabling Fault Tolerance and Reliable Green Communications in Next-Generation Wireless Systems

et al. 2022

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Green communications have witnessed significant attention being paid to the next generation of wireless systems research and development. This is due to growing use of sensor- and battery-oriented smart wireless devices. The related literature in green communications for next-generation wireless systems majorly relies on transmission and sensing power management, but lacks a fault-tolerant centric approach. In this context, this paper presents a fault-tolerant and reliable green communications framework for next-generation wireless systems (FRGNWS). Firstly, maximum node-disjoint routes from all source nodes to the base station are identified based on the hybrid adapted grey wolf sine cosine optimizer. Secondly, a fault-tolerant and reliable route is selected from the maximum disjoint routes for each sensor node to the base station based on the hybrid adapted grey wolf whale optimizer. The performance of our proposed green communications framework is assessed by simulation experiments considering a realistic implementation scenario and different metrics. Simulation results clearly validate the efficacy of the proposed green communications framework as compared to the state-of-the-art techniques.

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Section: Related Workmentioning

confidence: 99%