A fault tolerant optimal relay node selection algorithm for Wireless Sensor Networks using modified PSO

Sreedevi, Pogula; Venkateswarlu, S.

doi:10.1016/j.pmcj.2022.101642

Cited by 10 publications

(2 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The MFO population has been selected in chaotic maps in order to initialise. In equation, logistic maps are displayed (12).…”

Section: Chaotic Moth-flame Optimizationmentioning

confidence: 99%

“…Data is gathered by the CH prior to transmitting them to the hub, and Cluster Members (CM) are notified [11]. Researchers suggest Energy Efficient and Reliable Routing based on Deep Learning and Fuzzy Logic as a solution to this problem (EERR‐RLFL) [12]. Deep learning‐based techniques for atrial fibrillation identification have greater discriminative power to find informative features compared to classic feature extraction‐based methods [13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Outlier detection based energy efficient and reliable routing protocol using deep learning algorithm

Lizy

Indra

2023

Cognitive Comp and Systems

View full text Add to dashboard Cite

Wireless sensor network have also played a vital role in the observation and management of agricultural land in terms of climate, water usage, crops, etc. Due to the open communication system and low battery power of sensors, the agricultural sector still faces issues with energy consumption, information forwarding, and privacy. Thus, an energy‐efficient routing during transmission in WSN‐based smart agriculture is suggested in this study applying a feed‐forward neural network to detect outliers. Outlier identification, CH‐selection, and Relay Node (RN) selection are the three phases of this suggested method. Outlier detection is performed in the deployed nodes for categorises attack nodes from the normal nodes. CH‐selection is performed using a chaotic moth‐flame optimization technique according to distance, node degree, centrality factor and residual energy level, these parameters determine which node will become a Cluster Head. Then reliable routing protocol is designed using NB‐based probability method for RN selection. MATLAB software is used to test the proposed Outlier Detection based Energy Efficient and Reliable Routing Protocol and verify its performance. The effectiveness of the proposed‐model is tested with some prior wireless sensor network routing protocols environment‐fusion multipath routing protocol, dynamic Multi‐hop Energy Efficient Routing Protocol, SEMantic CLustering, and Reliable and energy efficient routing protocol. Outlier Detection based Energy Efficient and Reliable Routing Protocol algorithm attained a 0.91 (%)Packet Delivery ratio, 0.08% of packet loss, 0.91% of Average residual energy, 2.8 (Mbps) throughput, and 26 (sec) Delay.

show abstract

“…The MFO population has been selected in chaotic maps in order to initialise. In equation, logistic maps are displayed (12).…”

Section: Chaotic Moth-flame Optimizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Outlier detection based energy efficient and reliable routing protocol using deep learning algorithm

Lizy

Indra

2023

Cognitive Comp and Systems

View full text Add to dashboard Cite

show abstract

Nature-inspired donkey and smuggler algorithm for optimal data gathering in partitioned wireless sensor networks for restoring network connectivity

Rajeswari,

Arthi,

Murugan

2024

Computing

View full text Add to dashboard Cite

PEFTOSPRO: A Power-Efficient and Fault-Tolerant Scheme for Permutation Routing in Multi-hop Wireless Sensor Networks

Bomgni,

Sindjoung,

Djamegni

2024

Int J Wireless Inf Networks

View full text Add to dashboard Cite

A fault tolerant optimal relay node selection algorithm for Wireless Sensor Networks using modified PSO

Cited by 10 publications

References 33 publications

Outlier detection based energy efficient and reliable routing protocol using deep learning algorithm

Outlier detection based energy efficient and reliable routing protocol using deep learning algorithm

Nature-inspired donkey and smuggler algorithm for optimal data gathering in partitioned wireless sensor networks for restoring network connectivity

PEFTOSPRO: A Power-Efficient and Fault-Tolerant Scheme for Permutation Routing in Multi-hop Wireless Sensor Networks

Contact Info

Product

Resources

About