An ANN Approach for Fault Tolerant Wireless Sensor Networks

Acharya, Sasmita; Tripathy, C. R.

doi:10.1007/978-3-319-13731-5_52

Cited by 6 publications

(2 citation statements)

References 10 publications

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“…UES version-I, Modifield UES-I, UES version-II, and UES version-III are some of the most efficient encryption algorithms recently developed by Roy et al The Ultra Encryption Standard version-IV algorithm is the name of the algorithm. It is a bit-wise reshuffle and bit-wise columnar transposition multi-encryption symmetric key cryptosystem [16].…”

Section: Literature Reviewmentioning

confidence: 99%

An Intelligent Healthcare System Using IoT in Wireless Sensor Network

Jabeen

Ashraf

et al. 2023

Sensors

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The Internet of Things (IoT) uses wireless networks without infrastructure to install a huge number of wireless sensors that track system, physical, and environmental factors. There are a variety of WSN uses, and some well-known application factors include energy consumption and lifespan duration for routing purposes. The sensors have detecting, processing, and communication capabilities. In this paper, an intelligent healthcare system is proposed which consists of nano sensors that collect real-time health status and transfer it to the doctor’s server. Time consumption and various attacks are major concerns, and some existing techniques contain stumbling blocks. Therefore, in this research, a genetic-based encryption method is advocated to protect data transmitted over a wireless channel using sensors to avoid an uncomfortable data transmission environment. An authentication procedure is also proposed for legitimate users to access the data channel. Results show that the proposed algorithm is lightweight and energy efficient, and time consumption is 90% lower with a higher security ratio.

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Section: Literature Reviewmentioning

confidence: 99%

An Intelligent Healthcare System Using IoT in Wireless Sensor Network

Jabeen

Ashraf

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…In [39], a study of fault tolerant relay node placement problems is achieved and also discussion about complexity of proposed modified algorithms is done. In [40], authors present an artificial neural network model for fault tolerant WSN. A fault tolerant QoS clustering approach for WSNs is proposed in [41].…”

Section: Fault Tolerance In Wsnmentioning

confidence: 99%