Optimizing data aggregation and clustering in Internet of things networks using principal component analysis and Q-learning-Reference-Cited by-同舟云学术

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Optimizing data aggregation and clustering in Internet of things networks using principal component analysis and Q-learning

Published:2024-09 Issue:3 Volume:7 Page:189-196
ISSN:2666-7649
Container-title:Data Science and Management
language:en
Short-container-title:Data Science and Management

Author:

Bajpai Abhishek^ORCID,Verma Harshita,Yadav Anita

Publisher

Elsevier BV

Reference26 articles.

1. Optimizing the network energy of cloud assisted internet of things by using the adaptive neural learning approach in wireless sensor networks;Alarifi;Comput. Ind.,2019

2. An effective computing service provider using virtual cloud in ad-hoc network;Bajpai;Int. J. Wireless Mobile Comput.,2019

3. A novel power-efficient data aggregation scheme for cloud-based sensor networks;Bajpai;Int. J. Mobile Comput. Multimed. Commun.,2022

4. Hybrid and dynamic clustering based data aggregation and routing for wireless sensor networks;Dhanaraj;J. Intell. Fuzzy Syst.,2021

5. Data aggregation techniques in wsn: survey;Dhand;Procedia Comput. Sci.,2016

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1. An IoT-based Smart Healthcare integrated solution for Basketball using Q-Learning Algorithm;Mobile Networks and Applications;2024-09-03

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