6533b835fe1ef96bd12a0130
RESEARCH PRODUCT
Wireless sensor network for Spectrum Cartography based on Kriging interpolation
Gustavo Hernandez-penalozaGabriele BoccoliniBaltasar Beferull-lozanosubject
Computer sciencebusiness.industry05 social sciences050801 communication & media studies020206 networking & telecommunications02 engineering and technologyRadio spectrumKey distribution in wireless sensor networks0508 media and communicationsCognitive radioKriging0202 electrical engineering electronic engineering information engineeringResource allocationWirelessRadio resource managementFixed wirelessbusinessWireless sensor networkCartographydescription
Dynamic spectrum access with Cognitive Radio (CR) network is a promising approach to increase the efficiency of spectrum usage. To allow the optimization of resource allocation and transmission adaptation techniques, each CR terminal needs to acquire awareness of the state of the time-frequency-location varying radio spectrum. In this paper we present a Spectrum Cartography (SC) approach where CR terminals are supported by a fixed wireless sensor network (WSN) to estimate and update the Power Spectral Density (PSD) over the area of interest. The wireless sensors collaborate to estimate the spatial distribution of the received power at a given frequency using either a centralized or a distributed Kriging (DK) algorithm. We present an analysis of the semivariogram models used to estimate the spatial statistics of wireless PSD distributions. The performance of the centralized and DK algorithms are evaluated by simulating different realizations of the PSD and the results are compared with classical interpolating schemes varying the density of nodes in the area and the number of nodes used for local estimation.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2012-09-01 |