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FTDE: Distributed Fault Tolerance for WSN Data Collection and Compression Schemes

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

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FTDE: Distributed Fault Tolerance for WSN Data Collection and Compression Schemes. / Ali, A.; Khelil, A.; Suri, Neeraj.
2015 IEEE 34th Symposium on Reliable Distributed Systems (SRDS). IEEE, 2016. p. 140-145.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Ali, A, Khelil, A & Suri, N 2016, FTDE: Distributed Fault Tolerance for WSN Data Collection and Compression Schemes. in 2015 IEEE 34th Symposium on Reliable Distributed Systems (SRDS). IEEE, pp. 140-145. https://doi.org/10.1109/SRDS.2015.12

APA

Ali, A., Khelil, A., & Suri, N. (2016). FTDE: Distributed Fault Tolerance for WSN Data Collection and Compression Schemes. In 2015 IEEE 34th Symposium on Reliable Distributed Systems (SRDS) (pp. 140-145). IEEE. https://doi.org/10.1109/SRDS.2015.12

Vancouver

Ali A, Khelil A, Suri N. FTDE: Distributed Fault Tolerance for WSN Data Collection and Compression Schemes. In 2015 IEEE 34th Symposium on Reliable Distributed Systems (SRDS). IEEE. 2016. p. 140-145 doi: 10.1109/SRDS.2015.12

Author

Ali, A. ; Khelil, A. ; Suri, Neeraj. / FTDE : Distributed Fault Tolerance for WSN Data Collection and Compression Schemes. 2015 IEEE 34th Symposium on Reliable Distributed Systems (SRDS). IEEE, 2016. pp. 140-145

Bibtex

@inproceedings{28d85f008bb34e85af39f73352eeb837,
title = "FTDE: Distributed Fault Tolerance for WSN Data Collection and Compression Schemes",
abstract = "Wireless Sensor Networks (WSNs), being power and communication capacity constrained, often employ data compression schemes to reduce the data volumes. At the same time, various factors, such as low node reliability and communication faults, can compromise the core objective of accurate collection and delivery of the sensor data. However, contemporary compression schemes often fail to consider operational faults, and the resulting data errors arising from low node reliability (node crashes), and communication faults (data and links corruption) result in erroneous data being collected. This paper proposes a novel model-based fault-Tolerance technique applicable to varied compression schemes. Being fully distributed, our scheme corrects data errors at the point of origin (faulty sensor nodes), and thus avoids costly transmissions of corrupt data, decreasing message cost, and enhances compression effectiveness by correcting the erroneous samples. {\textcopyright} 2015 IEEE.",
keywords = "Data Compression, Fault-Tolerance, Wireless Sensor Networks, Fault tolerance, Fault tolerant computer systems, Sensor nodes, Wireless sensor networks, Communication capacity, Compression scheme, Data collection, Erroneous datum, Fault tolerance techniques, Faulty sensor, Model-based OPC, Wireless sensor network (WSNs), Data compression",
author = "A. Ali and A. Khelil and Neeraj Suri",
year = "2016",
month = jan,
day = "7",
doi = "10.1109/SRDS.2015.12",
language = "English",
pages = "140--145",
booktitle = "2015 IEEE 34th Symposium on Reliable Distributed Systems (SRDS)",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - FTDE

T2 - Distributed Fault Tolerance for WSN Data Collection and Compression Schemes

AU - Ali, A.

AU - Khelil, A.

AU - Suri, Neeraj

PY - 2016/1/7

Y1 - 2016/1/7

N2 - Wireless Sensor Networks (WSNs), being power and communication capacity constrained, often employ data compression schemes to reduce the data volumes. At the same time, various factors, such as low node reliability and communication faults, can compromise the core objective of accurate collection and delivery of the sensor data. However, contemporary compression schemes often fail to consider operational faults, and the resulting data errors arising from low node reliability (node crashes), and communication faults (data and links corruption) result in erroneous data being collected. This paper proposes a novel model-based fault-Tolerance technique applicable to varied compression schemes. Being fully distributed, our scheme corrects data errors at the point of origin (faulty sensor nodes), and thus avoids costly transmissions of corrupt data, decreasing message cost, and enhances compression effectiveness by correcting the erroneous samples. © 2015 IEEE.

AB - Wireless Sensor Networks (WSNs), being power and communication capacity constrained, often employ data compression schemes to reduce the data volumes. At the same time, various factors, such as low node reliability and communication faults, can compromise the core objective of accurate collection and delivery of the sensor data. However, contemporary compression schemes often fail to consider operational faults, and the resulting data errors arising from low node reliability (node crashes), and communication faults (data and links corruption) result in erroneous data being collected. This paper proposes a novel model-based fault-Tolerance technique applicable to varied compression schemes. Being fully distributed, our scheme corrects data errors at the point of origin (faulty sensor nodes), and thus avoids costly transmissions of corrupt data, decreasing message cost, and enhances compression effectiveness by correcting the erroneous samples. © 2015 IEEE.

KW - Data Compression

KW - Fault-Tolerance

KW - Wireless Sensor Networks

KW - Fault tolerance

KW - Fault tolerant computer systems

KW - Sensor nodes

KW - Wireless sensor networks

KW - Communication capacity

KW - Compression scheme

KW - Data collection

KW - Erroneous datum

KW - Fault tolerance techniques

KW - Faulty sensor

KW - Model-based OPC

KW - Wireless sensor network (WSNs)

KW - Data compression

U2 - 10.1109/SRDS.2015.12

DO - 10.1109/SRDS.2015.12

M3 - Conference contribution/Paper

SP - 140

EP - 145

BT - 2015 IEEE 34th Symposium on Reliable Distributed Systems (SRDS)

PB - IEEE

ER -