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FDRA: Fault Detection and Recovery Algorithm for Wireless Sensor Networks

Authors :
Ado Adamou Abba Ari
Chafiq Titouna
Hamouma Moumen
Université de M'Slia
Department of Computer Science
Université Mustapha Ben Boulaid de Batna 2
Laboratoire d'Informatique Parallélisme Réseaux Algorithmes Distribués (LI-PaRAD)
Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)
Département d'Informatique [Béjaïa]
Université Abderrahmane Mira [Béjaïa]
Source :
Mobile Web and Intelligent Information Systems ISBN: 9783319971629, MobiWIS, Younas M., Awan I., Ghinea G., Catalan Cid M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2018. Lecture Notes in Computer Science, Younas M., Awan I., Ghinea G., Catalan Cid M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2018. Lecture Notes in Computer Science, 10995, pp.72-85, 2018, 978-3-319-97162-9. ⟨10.1007/978-3-319-97163-6_7⟩
Publication Year :
2018
Publisher :
Springer International Publishing, 2018.

Abstract

Failures are inevitable in wireless sensor network, and it is important to detect and recover faulty nodes. In this paper, we present an algorithm to recover faulty nodes called Fault detection and Recovery Algorithm (FDRA). The performance evaluation is tested through simulation to evaluate some factors such as: Packet delivery ratio, control overhead, memory overhead and fault recovery delay. We compared our results with referenced algorithm: Fault Detection in Wireless Sensor Networks (FDWSN), and found that our FDRA performance outperforms that of FDWSN.

Details

ISBN :
978-3-319-97162-9
ISBNs :
9783319971629
Database :
OpenAIRE
Journal :
Mobile Web and Intelligent Information Systems ISBN: 9783319971629, MobiWIS, Younas M., Awan I., Ghinea G., Catalan Cid M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2018. Lecture Notes in Computer Science, Younas M., Awan I., Ghinea G., Catalan Cid M. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2018. Lecture Notes in Computer Science, 10995, pp.72-85, 2018, 978-3-319-97162-9. ⟨10.1007/978-3-319-97163-6_7⟩
Accession number :
edsair.doi.dedup.....51a6b5af5b6518b6d4789e9ec37e2366
Full Text :
https://doi.org/10.1007/978-3-319-97163-6_7