Name
Title | ||
|---|---|---|
An Analytical Approach for Optimizing Data Transfer Rate in a Faulty Wireless Sensor Network |
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/PRDC47002.2019.00041 | 2019 IEEE 24th Pacific Rim International Symposium on Dependable Computing (PRDC) |
Keywords | Field | DocType |
Wireless sensor network,Hardware failure,Data transfer rate,Markov model,Optimization | Data rate units,Data loss,Markov model,Computer science,Real-time computing,Wireless sensor network,Sink (computing) | Conference |
ISSN | ISBN | Citations |
1555-094X | 978-1-7281-4962-2 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Muhammad Alfian Amrizal | 1 | 1 | 2.09 |
| Luis Guillen | 2 | 1 | 2.80 |
| Takuo Suganuma | 3 | 341 | 61.14 |