Redundant data identification in Social Internet of Things using Agglomerative Clustering-Reference-Cited by-同舟云学术

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Redundant data identification in Social Internet of Things using Agglomerative Clustering

Published:2024-03-15 Issue: Volume:1 Page:1-6
ISSN:
Container-title:2024 5th International Conference on Innovative Trends in Information Technology (ICITIIT)
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Author:

Meghana J¹,Hanumanthappa J¹,Shiva Prakash S.P.²,Krinkin Kirill³

Affiliation:

1. University of Mysore,Department of Studies in Computer Science,Mysuru,Karanataka,India

2. JSS Science and Technology University,Department of Information Science and Engineering,Mysuru,Karanataka,India

3. Constructor University,School of Computer Science and Engineering,Bremen,Germany

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579969/10579987/10580788.pdf?arnumber=10580788

Reference14 articles.

1. A Novel Technique to Mitigate the Data Redundancy and to Improvise Network Lifetime Using Fuzzy Criminal Search Ebola Optimization for WMSN

2. An approach to data redundancy reduction and secured data delivery using spatial‐temporal correlation factors in heterogeneous Mobile Wireless Sensor Network

3. Data redundancy management for leaf-edges in connected environments

4. Distributed energy‐efficient data reduction approach based on prediction and compression to reduce data transmission in IoT networks

5. ESRRA-IoT: Edge-based spatial redundancy reduction approach for Internet of Things

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