Please use this identifier to cite or link to this item:
http://hdl.handle.net/2080/3967
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Mishra, Abhijit | - |
dc.contributor.author | Sahoo, Upendra Kumar | - |
dc.contributor.author | Maiti, Subrata | - |
dc.date.accessioned | 2023-03-09T07:18:06Z | - |
dc.date.available | 2023-03-09T07:18:06Z | - |
dc.date.issued | 2023-02 | - |
dc.identifier.citation | 29th National Conference on Communications (NCC), IIT Guwahati, 23-26 February 2023 | en_US |
dc.identifier.uri | http://hdl.handle.net/2080/3967 | - |
dc.description | Copyright belongs to proceeding publisher | en_US |
dc.description.abstract | The device-free localization (DFL) technique for target localization and tracking in a wireless sensor network is important in modern research. Radio tomographic imaging (RTI) is a DFL method that is widely used in today’s imagebased localization systems. In the RTI system, spatial loss fields (SLFs) represent the maps that indicate the degree of radio wave attenuation for each spatial location in the WSN due to obstacles. In the real-world RTI model, the data is always perturbed by uncertainty. Therefore, uncertainty in sensor node location leads to uncertainty in the input data of the RTI regression model. To address the sensor location uncertainty problem, this paper proposes a novel stochastic robust approximation (SRA) method for RTI (SRA-RTI). Simulation-based performance analysis shows that the proposed technique is robust against the uncertainty in the sensor node location. | en_US |
dc.subject | Radio tomographic imaging | en_US |
dc.subject | received signal strength | en_US |
dc.subject | spatial loss field | en_US |
dc.subject | stochastic robust approximation | en_US |
dc.title | Radio Tomographic Imaging with Input Sensor Location Uncertainty | en_US |
dc.type | Article | en_US |
Appears in Collections: | Conference Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
2023_NCC_AMishra_Radio.pdf | 1.07 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.