Name
Abstract | ||
|---|---|---|
The characterisation of uncertainty and the management of Quality of Service are important issues in mobile communications. In a Wireless Sensor Network, there is a high probability of redundancy, correlation and noise in the sensor features since data is often collected from a large array of densely deployed neighbouring sensors. This article proposes a soft computing approach to manage uncertainty by reasoning over inconsistent, incomplete, and fragmentary information using classical rough set and dominance-based rough set theories. A methodological and computational basis is provided and is illustrated in a real world sensor network application of aquatic biodiversity mapping under uncertainty. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1504/IJMC.2009.023675 | IJMC |
Keywords | Field | DocType |
aquatic biodiversity mapping,dominance-based rough set theory,important issue,high probability,sensor feature,wireless sensor network,fragmentary information,uncertainty-aware wireless sensor networks,computational basis,real world sensor network,classical rough set,wireless networks,wireless sensor networks,soft computing,mobile communications | Key distribution in wireless sensor networks,Wireless network,Computer science,Sensor array,Visual sensor network,Computer network,Rough set,Artificial intelligence,Soft computing,Mobile wireless sensor network,Wireless sensor network,Distributed computing | Journal |
Volume | Issue | ISSN |
7 | 3 | 1470-949X |
Citations | PageRank | References |
9 | 0.57 | 30 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sanchita Mal-Sarkar | 1 | 41 | 3.18 |
| Iftikhar U. Sikder | 2 | 63 | 5.75 |
| Chansu Yu | 3 | 9 | 0.57 |
| Vijay K. Konangi | 4 | 13 | 2.10 |