TY - GEN
T1 - An analytical approach for optimizing data transfer rate in a faulty wireless sensor network
AU - Amrizal, Muhammad Alfian
AU - Guillen, Luis
AU - Suganuma, Takuo
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - Wireless Sensor Networks (WSNs) typically consist of failure-prone sensor nodes (SN) and more reliable sink nodes (SK). To prevent data loss due to hardware failures, the data stored in SNs' memory must be regularly transferred to SKs. Hence, choosing an appropriate data transfer rate between SN and SK is important to minimize data loss in a faulty WSN. This paper presents an analytical method to derive the optimal data transfer rate of the SN based on a Markov Model.
AB - Wireless Sensor Networks (WSNs) typically consist of failure-prone sensor nodes (SN) and more reliable sink nodes (SK). To prevent data loss due to hardware failures, the data stored in SNs' memory must be regularly transferred to SKs. Hence, choosing an appropriate data transfer rate between SN and SK is important to minimize data loss in a faulty WSN. This paper presents an analytical method to derive the optimal data transfer rate of the SN based on a Markov Model.
KW - Data transfer rate
KW - Hardware failure
KW - Markov model
KW - Optimization
KW - Wireless sensor network
UR - http://www.scopus.com/inward/record.url?scp=85078496977&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078496977&partnerID=8YFLogxK
U2 - 10.1109/PRDC47002.2019.00041
DO - 10.1109/PRDC47002.2019.00041
M3 - Conference contribution
AN - SCOPUS:85078496977
T3 - Proceedings of IEEE Pacific Rim International Symposium on Dependable Computing, PRDC
SP - 122
EP - 123
BT - Proceedings - 2019 IEEE 24th Pacific Rim International Symposium on Dependable Computing, PRDC 2019
PB - IEEE Computer Society
T2 - 24th IEEE Pacific Rim International Symposium on Dependable Computing, PRDC 2019
Y2 - 1 December 2019 through 3 December 2019
ER -