Markov chain‐based analysis and fault tolerance technique for enhancing chain‐based routing in <scp>WSNs</scp>-Reference-Cited by-同舟云学术

Markov chain‐based analysis and fault tolerance technique for enhancing chain‐based routing in WSNs

Published:2024-02-21 Issue:12 Volume:36 Page:
ISSN:1532-0626
Container-title:Concurrency and Computation: Practice and Experience
language:en
Short-container-title:Concurrency and Computation

Author:

Jalili Ahmad¹,Alzubi Jafar A.²^ORCID,Rezaei Roghayeh³,Webber Julian L.⁴,Fernández‐Campusano Christian⁵,Gheisari Mehdi³⁶⁷⁸^ORCID,Amin Rashid⁹,Mehbodniya Abolfazl⁴

Affiliation:

1. Department of Computer Engineering, Faculty of Basic Sciences and Engineering Gonbad Kavous University Gonbad Kavous Iran

2. Faculty of Engineering Al‐Balqa Applied University Salt Jordan

3. Department of Computer Engineering Technical and Vocational University of Kosar Malayer Iran

4. Department of Electronics and Communication Engineering Kuwait College of Science and Technology (KCST) Doha Kuwait

5. Departamento de Ingeniería Eléctrica, Facultad de Ingeniería Universidad de Santiago de Chile (USACH) Santiago 8370451 Chile

6. Department of Cognitive Computing, Institute of Computer Science and Engineering Saveetha School of Engineering, Saveetha Institute of Medical and Technical Sciences Chennai India

7. Department of R&D Shenzhen BKD Co. Ltd Shenzhen China

8. Institute of Artificial Intelligence Shaoxing University Zhejiang China

9. Department of Computer Science and Information Technology University of Chakwal Chakwal Pakistan

Abstract

SummaryWireless sensor networks (WSNs) are faced with the challenge of energy conservation, which makes efficient routing protocols crucial for prolonging network lifetime. In addition, delay time from sensors to the base station is critical in applications such as military, medical, and security monitoring systems. Chain‐based protocols like PEGASIS, CCBRP, and CCM have been developed to address routing in WSNs, with the aim of reducing energy consumption and delay. However, node failures are inevitable due to energy reduction and node mobility. Therefore, fault tolerance techniques must be integrated into routing protocols. A new fault tolerance method has been proposed to prevent early chain failures in WSNs by formulating network availability and reliability using Markov chain analysis. The results indicate that chain‐based routing protocols with one spare node are more reliable than those with two spare nodes.

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cpe.8032

Reference26 articles.

1. Performance analysis of DSDV and OLSR wireless sensor network routing protocols using FPGA hardware and machine learning

2. SenthilkumarC RamkumarG AyyaduraiM.Experimental analysis of secured routing protocol establishments over wireless sensor network. In 2021 5th International Conference on Trends in Electronics and Informatics (ICOEI)(pp.691‐698). IEEE.2021.

3. El‐SayedHH RefaaySK AliSA El‐MelegyMT.Chain based leader selection using neural network in wireless sensor networks protocols. In 2021 9th International Japan‐Africa Conference on Electronics Communications and Computations (JAC‐ECC)(pp.105‐110). IEEE.2021.

4. Fault tolerant approach for WSN chain based routing protocols;Jalili A;Int J Comput Netw Commun Secur,2015

5. GheisariM MovassaghAA QinY et al.Nsssd: a new semantic hierarchical storage for sensor data. In 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD)(pp.174‐179). IEEE.2016.