Citation: Osamy, W.; Khedr, A.M.;
Salim, A.; El-Sawy, A.A.; Alreshoodi,
M.; Alsukayti, I. Recent Advances
and Future Prospects of Using AI
Solutions for Security, Fault
Tolerance, and QoS Challenges in
WSNs . Electronics 2022, 11, 4122.
https://doi.org/10.3390/
electronics11244122
Academic Editor: Djuradj Budimir
Received: 4 November 2022
Accepted: 7 December 2022
Published: 10 December 2022
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Article
Recent Advances and Future Prospects of Using AI Solutions
for Security, Fault Tolerance, and QoS Challenges in WSNs
Walid Osamy
1,2,
*
,†
, Ahmed M. Khedr
3,4,†
, Ahmed Salim
4,5,
*
,†
, Ahmed A. El-Sawy
2,6,†
,
Mohammed Alreshoodi
1,†
and Ibrahim Alsukayti
7,†
1
Unit of Scientific Research, Applied College, Qassim University, Buraydah 52571, Saudi Arabia
2
Computer Science Department, Faculty of Computers and Artificial Intelligence, Benha University,
Benha 13511, Egypt
3
Computer Science Department, University of Sharjah, Sharjah 27272, United Arab Emirates
4
Mathematics Department, Zagazig University, Zagazig 44519, Egypt
5
Department of Computer Science, College of Sciences and Arts, Al-Methnab, Qassim University,
Buridah 52571, Saudi Arabia
6
Information Technology Department, Faculty of Technological Industry and Energy,
Delta Technological University, Quesna 32631, Egypt
7
Department of Computer Science, College of Computer, Qassim University, Buraydah 51452, Saudi Arabia
* Correspondence: w.elsherif@qu.edu.sa or walid.osamy@fci.bu.edu.eg (W.O.); a.salem@qu.edu.sa (A.S.)
† These authors contributed equally to this work.
Abstract:
The increasing relevance and significant acceptance of Wireless Sensor Network (WSN)
solutions have aided the creation of smart environments in a multitude of sectors, including the
Internet of Things, and offer ubiquitous practical applications. We examine current research trends in
WSN using Artificial Intelligence (AI) technologies and the potential application of these methods
for WSN improvement in this study. We emphasize the security, fault detection and tolerance, and
quality of service (QoS) concerns in WSN, and provide a detailed review of current research that
used different AI technologies to satisfy particular WSN objectives from 2010 to 2022. Specifically,
this study’s purpose is to give a current review that compares various AI methodologies in order to
provide insights for tackling existing WSN difficulties. Furthermore, there has been minimal existing
related work concentrating employing AI approaches to solve security, fault detection and tolerance,
and quality of service (QoS) concerns associated to WSN, and our goal is to fill the gap in existing
studies. The application of AI solutions for WSN is the goal of this work, and we explore all parts
of it in order to meet different WSN challenges such as security, fault detection and tolerance, and
QoS. This will lead to an increased understanding of current AI applications in the areas of security,
fault detection and tolerance, and QoS. Secondly, we present a comprehensive study and analysis of
various AI schemes utilized in WSNs, which will aid the researchers in recognizing the most widely
used techniques and the merits of employing various AI solutions to tackle WSN-related challenges.
Finally, a list of open research issues has been provided, together with considerable bibliographic
information, which provides useful recent research trends on the topics and encourages new research
directions and possibilities.
Keywords:
internet of things; fault detection and tolerance; artificial intelligence; security; quality of
service; wireless sensor networks
1. Introduction
Over the years, the domain of ad hoc network technology has attracted a lot of
academic interest [
1
]. Mobile Ad hoc Networks (MANETs) and Wireless Sensor Networks
(WSNs) are the two types of ad hoc networks. When compared to MANETs, WSNs consume
less power and contain lower-cost components [
2
–
5
]. Many IoT applications require precise
discovery of node positions in order to communicate data effectively across nodes [
6
]. WSN
Electronics 2022, 11, 4122. https://doi.org/10.3390/electronics11244122 https://www.mdpi.com/journal/electronics
