Title: A survey on the applications of machine learning in wireless sensor networks

Authors: Lokesh Chouhan; Nancy Chauhan; Amitosh Swain Mahapatra; Vidushi Agarwal

Addresses: National Institute of Technology Hamirpur, Himachal Pradesh, India ' Indian Institute of Information Technology Una, Transit Campus-II: Vill. Chandpur, Teh. Haroli, Dist. Una Himachal Pradesh, India ' College of Engineering and Technology, Ghatikia, Kalinga Nagar, Bhubaneswar, Odisha, India ' National Institute of Technology Hamirpur, Himachal Pradesh, India

Abstract: With the dawn of the 21st century and the growth of fast, always available and low power networks, wireless sensor networks are being implemented in diverse use-cases. Wireless sensor networks are being deployed to observe, explore and control the physical world. Wireless sensor networks are generally deployed in dynamic environments. Sensor networks utilise machine learning techniques to avoid the unnecessary redesign of a wireless sensor network deployment for adapting to changing requirements. Machine learning is also used to maximise the security, efficiency, lifetime, and resource utilisation in such networks. In this paper, we present an extensive literature survey of various machine learning applications that are used or are in research to address the operational and non-operational challenges in wireless sensor networks.

Keywords: clustering; data aggregation; machine learning; security; wireless sensor networks.

DOI: 10.1504/IJHPCN.2020.113779

International Journal of High Performance Computing and Networking, 2020 Vol.16 No.4, pp.197 - 220

Received: 24 Jun 2020
Accepted: 23 Oct 2020

Published online: 11 Mar 2021 *

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