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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Iyer, V. Iyengar, S.S. Murthy, G.R. Srinathan, K. Govindarajulu, R. Srinivas, M.B. Singh, D. |
| Copyright Year | 2011 |
| Description | Author affiliation: Brila Institute of Technology & Science, Hyderabad Campus, Hyderabad-500078, India (Srinivas, M.B.) || Louisiana State University, Baton Rouge, LA 70803, USA (Iyengar, S.S.) || National Institute for Mathematical Sciences (NIMS), South Korea (Singh, D.) || International Institute of Information Technology, Hyderabad, India - 500 032 (Iyer, V.; Murthy, G.R.; Srinathan, K.; Govindarajulu, R.) |
| Abstract | In this problem, the process start with real-valued inputs and are supposed to decide eventually on real-valued outputs. The process is permitted to send real-valued data in messages. Instead of having to agree exactly, as in the ordinary agreement problem, this time the requirement is just that they agree with within a small positive real-valued tolerance ε. In the standard implementation agreement problem converges to a consistent value for each sensor measurement, which is nonfaculty using Byzantine algorithm with at-least n > 3 faulty sensors. We define a pre-processing BestBasis cost function which allows to find a coherent range, which can be measured using intra-sensor in an ensemble of real-values. The overlap of the range is calculated by using a clique, with a runtime of O(nk) in the worst-case, where the size of clique, k, is a variable. The computation of the pre-processing takes O log(D), where D is the number of levels in a sparse signal basis. Which are some times analogously compared to needle in a hay stack definition. |
| Starting Page | 61 |
| Ending Page | 66 |
| File Size | 250281 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424488308 |
| ISSN | 17389445 |
| e-ISBN | 9788955191554 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-02-13 |
| Publisher Place | Korea (South) |
| Access Restriction | Subscribed |
| Rights Holder | Global IT Research Inst |
| Subject Keyword | Mathematical model Joints Covariance matrix Equations Cost function Manganese Pre- and Post processing of Sensors Compressed Sensing (DCS) Sensor Fusion |
| Content Type | Text |
| Resource Type | Article |
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