ISSN 2394-5125
 

Research Article 


ENERGY-EFFICIENT CLUSTERING-BASED TOPOLOGY CONTROL SCHEME AND FAULT TOLERANCE USING MODIFIED DEEP LEARNING NEURAL NETWORK IN WSN ENVIRONMENT

Hemantaraj M. Kelagadi, Priyatamkumar.

Abstract
Today, Wireless Sensor Networks (WSN) takes an important part in different applications. Fault tolerance and Energy efficiency are notable issues in WSN. Though the existing research approaches concentrated on these issues, they could not resolve the issues completely. So, this work proposes an efficient topology control (TC) scheme centered on clustering and routing algorithms and performs fault tolerance with the utilization of the MDLNN algorithm (TCCR-FTM) in the WSN environment. First, the sensor nodes (SNs) are grouped, and subsequently, the cluster heads (CHs) are selected by utilizing the new CSFFC algorithm. Here, two CHs, such as SCH, and PCH, are selected for lessening the residual energy (RE) loss of the CH. Subsequently, in the clusters, the multipath routing (MPR) is created. And, the shortest path (i.e., alternatively three paths are chosen) is selected from the multipath by utilizing the E-AOMDV algorithm. Next, the fault node (FN) in the selected path of clusters is detected utilizing the MDLNN algorithm. If any links break and FNs occur in the clusters, then the FNs are isolated and then the alternate path is chosen for further communication. During experimental analysis, the proposed TCCR-FTM shows superior performance on considering the other methods in respect of performance metrics.

Key words: Modified Deep Learning Neural Network (MDLNN), Primary Cluster Head (PCH), Evolutionary based Ad-hoc On-Demand Multipath Distance Vector (E-AOMDV), Secondary Cluster Head (SCH), and Cosine Similarity-based Farthest First Clustering (CSFFC).


 
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Pubmed Style

Hemantaraj M. Kelagadi, Priyatamkumar. ENERGY-EFFICIENT CLUSTERING-BASED TOPOLOGY CONTROL SCHEME AND FAULT TOLERANCE USING MODIFIED DEEP LEARNING NEURAL NETWORK IN WSN ENVIRONMENT. JCR. 2020; 7(15): 6042-6055. doi:10.31838/jcr.07.15.774


Web Style

Hemantaraj M. Kelagadi, Priyatamkumar. ENERGY-EFFICIENT CLUSTERING-BASED TOPOLOGY CONTROL SCHEME AND FAULT TOLERANCE USING MODIFIED DEEP LEARNING NEURAL NETWORK IN WSN ENVIRONMENT. http://www.jcreview.com/?mno=7934 [Access: January 05, 2021]. doi:10.31838/jcr.07.15.774


AMA (American Medical Association) Style

Hemantaraj M. Kelagadi, Priyatamkumar. ENERGY-EFFICIENT CLUSTERING-BASED TOPOLOGY CONTROL SCHEME AND FAULT TOLERANCE USING MODIFIED DEEP LEARNING NEURAL NETWORK IN WSN ENVIRONMENT. JCR. 2020; 7(15): 6042-6055. doi:10.31838/jcr.07.15.774



Vancouver/ICMJE Style

Hemantaraj M. Kelagadi, Priyatamkumar. ENERGY-EFFICIENT CLUSTERING-BASED TOPOLOGY CONTROL SCHEME AND FAULT TOLERANCE USING MODIFIED DEEP LEARNING NEURAL NETWORK IN WSN ENVIRONMENT. JCR. (2020), [cited January 05, 2021]; 7(15): 6042-6055. doi:10.31838/jcr.07.15.774



Harvard Style

Hemantaraj M. Kelagadi, Priyatamkumar (2020) ENERGY-EFFICIENT CLUSTERING-BASED TOPOLOGY CONTROL SCHEME AND FAULT TOLERANCE USING MODIFIED DEEP LEARNING NEURAL NETWORK IN WSN ENVIRONMENT. JCR, 7 (15), 6042-6055. doi:10.31838/jcr.07.15.774



Turabian Style

Hemantaraj M. Kelagadi, Priyatamkumar. 2020. ENERGY-EFFICIENT CLUSTERING-BASED TOPOLOGY CONTROL SCHEME AND FAULT TOLERANCE USING MODIFIED DEEP LEARNING NEURAL NETWORK IN WSN ENVIRONMENT. Journal of Critical Reviews, 7 (15), 6042-6055. doi:10.31838/jcr.07.15.774



Chicago Style

Hemantaraj M. Kelagadi, Priyatamkumar. "ENERGY-EFFICIENT CLUSTERING-BASED TOPOLOGY CONTROL SCHEME AND FAULT TOLERANCE USING MODIFIED DEEP LEARNING NEURAL NETWORK IN WSN ENVIRONMENT." Journal of Critical Reviews 7 (2020), 6042-6055. doi:10.31838/jcr.07.15.774



MLA (The Modern Language Association) Style

Hemantaraj M. Kelagadi, Priyatamkumar. "ENERGY-EFFICIENT CLUSTERING-BASED TOPOLOGY CONTROL SCHEME AND FAULT TOLERANCE USING MODIFIED DEEP LEARNING NEURAL NETWORK IN WSN ENVIRONMENT." Journal of Critical Reviews 7.15 (2020), 6042-6055. Print. doi:10.31838/jcr.07.15.774



APA (American Psychological Association) Style

Hemantaraj M. Kelagadi, Priyatamkumar (2020) ENERGY-EFFICIENT CLUSTERING-BASED TOPOLOGY CONTROL SCHEME AND FAULT TOLERANCE USING MODIFIED DEEP LEARNING NEURAL NETWORK IN WSN ENVIRONMENT. Journal of Critical Reviews, 7 (15), 6042-6055. doi:10.31838/jcr.07.15.774