L. Prasad, S. S. Iyengar, and R. L. Rao. Fault-tolerant sensor integration using multiresolution decomposition. Physical Review E, 49(4):3452--3461, April 1994. Home/Search Document Not in Database Summary APS Related Articles Check |
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The Energy-Robustness Tradeoff for Real Time.. - Krishnamachari.. (Correct)
.... in the area of distributed sensor networks (not wireless systems) focuses on reliable routing with arbitrary network topologies [24, 25] There has been some work on dealing with faulty measurements: characterizing sensor fault modalities [26, 27] tolerating faults while performing sensor fusion [28], and tolerating faults while ensuring sensor coverage [23] A mechanism for detecting crash faults in wireless sensor networks is described in [29] There is, however, considerable literature on multipath routing techniques dating back to work pertaining to the telephone system where they are ....
L. Prasad, S. S. Iyengar, R. L. Rao, and R. L. Kashyap, "Fault-tolerant sensor integration using multiresolution decomposition," Physical Review E, Vol. 49, No. 4, April 1994.
Detecting Context in Distributed Sensor Networks by.. - Michahelles.. (2002) (3 citations) (Correct)
....to be handled by lower network layers, which is out of scope of our work parameters from a homogeneous set of partly faulty sensors. The authors demonstrate in a case study, that their mobile agents reduce the network transfer compared to conventional multi resolution integration [20]. MADSN may serve as building block in our framework to handle homogeneous sets of faulty sensors. Directed Di#usion [13] constraints information flows propagating interests and setting gradients accordingly, as already mentioned in section 4.1. Currently, we envision directed di#usion as an ....
L. Prasad, S.S. Iyengar, R.L. Rao, and R.L Kashyap. Fault-tolerant sensor integration using multiresolution decomposition. Physical Review E, 49, April 1994.
Distributed Multi-Resolution Data Integration Using Mobile.. - Qi, Iyengar, al. (2001) (3 citations) Self-citation (Iyengar) (Correct)
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L. Prasad, S. S. Iyengar, and R. L. Rao. Fault-tolerant sensor integration using multiresolution decomposition. Physical Review E, 49(4):3452--3461, April 1994.
High Performance Sensor Integration in Distributed - Sensor Networks Using Self-citation (Iyengar) (Correct)
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L. Prasad, S. S. Iyengar, and R. L. Rao. Fault-tolerant sensor integration using multiresolution decomposition. Physical Review E, 49(4):3452--3461, April 1994. 23
Efficient and Fault-Tolerant Feature Extraction in.. - Krishnamachari, Iyengar (2003) (2 citations) Self-citation (Iyengar) (Correct)
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L. Prasad, S. S. Iyengar, R. L. Rao, and R. L. Kashyap, "Fault-tolerant sensor integration using multiresolution decomposition," Physical Review E, Vol. 49, No. 4, April 1994.
Multi-Resolution Data Integration Using - Mobile Agents In Self-citation (Iyengar) (Correct)
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L. Prasad, S. S. Iyengar, and R. L. Rao, "Fault-tolerant sensor integration using multiresolution decomposition," Physical Review E, vol. 49, no. 4, pp. 3452--3461, April 1994.
Distributed Bayesian Algorithms for Fault-Tolerant Event.. - Krishnamachari, Iyengar (2004) Self-citation (Iyengar) (Correct)
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L. Prasad, S.S. Iyengar, R.L. Rao, and R.L. Kashyap, "FaultTolerant Sensor Integration Using Multiresolution Decomposition, " Physical Rev. E, vol. 49, no. 4, Apr. 1994.
Self-Organized Fault-Tolerant Feature Extraction in.. - Krishnamachari, Iyengar Self-citation (Iyengar) (Correct)
....components does not a#ect the overall system behavior. Some of the early work in the area of distributed sensor networks focuses on reliable routing with arbitrary network topologies [28, 29] characterizing sensor fault modalities [5, 6] tolerating faults while performing sensor integration [30], and tolerating faults while ensuring sensor coverage [27] A mechanism for detecting crash faults in wireless sensor networks is described in [44] There has been little prior work in the literature on detecting and correcting faults in sensor measurements in an application specific context. We ....
L. Prasad, S. S. Iyengar, R. L. Rao, and R. L. Kashyap, "Fault-tolerant sensor integration using multiresolution decomposition," Physical Review E, Vol. 49, No. 4, April 1994.
Distributed Multi-Resolution Data Integration Using Mobile.. - Qi, Iyengar, al. (2001) (3 citations) Self-citation (Iyengar) (Correct)
....integration results to be unreliable. Algorithms are therefore sought which should not be significantly affected by network scaling, and yet provide better performance and higher fault tolerance. This section first reviews the original multi resolution integration (MRI) algorithm proposed for DSNs [15]. Enhancements to the basic MRI algorithm are then described in order to take advantage of mobile agents to achieve better network scalability and fault tolerance. The enhancements involve a multi resolution analysis of individual sensor readout to generate a simple function (the overlap function) ....
....is followed by the multi resolution analysis of the integrated simple function, the mobile agent implementation of MRI algorithm reduces the data transfer time by as much as 90 . 3. 1 Original MRI Algorithm in DSNs The original MRI algorithm was proposed by Prasad, Iyengar and Rao in 1994 [15]. The idea essentially consists of constructing a simple function (the overlap function) from the outputs of the sensors in a cluster and resolving this function at various successively finer scales of resolution to isolate the region over which the correct sensors lie. Each sensor in a cluster ....
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L. Prasad, S. S. Iyengar, and R. L. Rao. Fault-tolerant sensor integration using multiresolution decomposition. Physical Review E, 49(4):3452--3461, April 1994.
Segmentation by Multiresolution Histogram Decomposition - Rao, Prasad (1995) Self-citation (Prasad Rao) (Correct)
....Liu and Yang [4] use multiresolution for segmenting color images. Lifshitz and Pizer [3] propose a hierarchical segmentation technique using intensity extrema in images. We have used the idea of multiresolution decomposition to efficiently integrate information in distributed sensor networks [6, 7]. Segmentation is an important low level image processing task[10] The goal of segmentation is the grouping of pixels in an image according to some arbitrary measure (criterion) For instance, all pixels in an image whose intensity levels lie within a specified range may be grouped together as ....
L. Prasad, S.S. Iyengar, R.L. Rao, and R.L. Kashyap, "Fault-tolerant sensor integration using multiresolution decomposition," Physical Review E, Vol. 49, No. 4., pp. 3452-- 3461, April 1994.
Multiresolution Techniques In Image Processing - Rao (1995) (1 citation) Self-citation (Rao) (Correct)
....Liu and Yang [40] use multiresolution for segmenting color images. Lifshitz and Pizer [38] propose a hierarchical segmentation technique using intensity extrema in images. We have used the idea of multiresolution decomposition to efficiently integrate information in distributed sensor networks [51, 53]. The idea of multiresolution is not necessarily wavelet related; the so called pyramid algorithms [3, 6, 69, 61] incorporate a multiresolution strategy that is not wavelet based. 2 1.1 Organization This dissertation is organized as follows. Chapter 2 introduces the notation and mathematical ....
L. Prasad, S.S. Iyengar, R.L. Rao and R.L. Kashyap. Fault-Tolerant Sensor Integration Using Multiresolution Decomposition. Physical Review E. 49, 4, pp. 3452--3461, April 1994.
Acoustic Target Classification Using Distributed Sensor Arrays - Wang, Qi (Correct)
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L. Prasad, S. S. Iyengar, and R. L. Rao, "Fault-tolerant sensor integration using multiresolution decomposition," Physical Review E, vol. 49, no. 4, pp. 3452--3461, April 1994.
Mobile-agent-based Collaborative Signal and Information.. - Qi, Xu, Wang (Correct)
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L. Prasad, S. S. Iyengar, and R. L. Rao, "Fault-tolerant sensor integration using multiresolution decomposition," Physical Review E, vol. 49, no. 4, pp. 3452--3461, April 1994.
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