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FDRA: Fault Detection and Recovery Algorithm for Wireless Sensor Networks
- 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.
- Subjects :
- Computer science
Network packet
020206 networking & telecommunications
Fault tolerance
02 engineering and technology
Fault (power engineering)
Fault detection and isolation
[INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]
0202 electrical engineering, electronic engineering, information engineering
Overhead (computing)
020201 artificial intelligence & image processing
Wireless sensor network
Algorithm
ComputingMilieux_MISCELLANEOUS
Subjects
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