Title :
Quality-driven power control and resource allocation in wireless multi-rate Visual Sensor Networks
Author :
Katsenou, Angeliki V. ; Kondi, Lisimachos P. ; Parsopoulos, Konstantinos E. ; Bentley, E.S.
Author_Institution :
Dept. of Comput. Sci., Univ. of Ioannina, Ioannina, Greece
fDate :
Sept. 30 2012-Oct. 3 2012
Abstract :
In the present paper, we deal with the problem of allocating the network resources in multi-rate Direct Sequence Code Division Multiple Access (DS-CDMA) Visual Sensor Networks (VSNs). We consider a single-cell system where each node uses the same chip rate, but can transmit at a different bit rate. In wireless VSNs, we face the constraints of limited power lifetime and of an error-prone environment, mainly due to attenuation and interference. The proposed cross-layer scheme enables the Centralized Control Unit (CCU) to jointly allocate the transmission power, the transmission bit rate and the source-channel coding rates for each VSN node in order to optimize the delivered video quality. The transmission power of each visual sensor assumes values from a continuous range, while the rest of the resources take values chosen from an available discrete set. The numerical results demonstrate the performance of the proposed multi-rate scheme vs a single-rate system.
Keywords :
code division multiple access; combined source-channel coding; power control; resource allocation; spread spectrum communication; telecommunication control; wireless sensor networks; CCU; DS-CDMA; VSN node; centralized control unit; chip rate; crosslayer scheme; direct sequence code division multiple access; discrete set; error-prone environment; power lifetime; quality-driven power control; single-cell system; source-channel coding rates; transmission bit rate; transmission power; video quality; wireless multirate visual sensor networks; Bit rate; Channel coding; Quality assessment; Resource management; Source coding; Video recording; Visualization; Multi-rate DS-CDMA; Power Control; Resource Allocation; Visual Sensor Networks;
Conference_Titel :
Image Processing (ICIP), 2012 19th IEEE International Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
978-1-4673-2534-9
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2012.6467060