Optimal power allocation and joint source-channel coding for wireless DS-CDMA visual sensor networks using the Nash Bargaining Solution

Author

Pandremmenou, Katerina ; Kondi, Lisimachos P. ; Parsopoulos, Konstantinos E.

Author_Institution

Dept. of Comput. Sci., Univ. of Ioannina, Ioannina, Greece

fYear

2011

fDate

22-27 May 2011

Firstpage

2340

Lastpage

2343

Abstract

We consider the problem of resource allocation for a Direct Sequence Code Division Multiple Access (DS-CDMA) wireless visual sensor network (VSN). We use the Nash Bargaining Solution (NBS) from game theory in order to determine the transmission power and source and channel coding rate for each node. The NBS assumes that the nodes negotiate (using the help of a centralized control unit) in order to jointly determine their transmission parameters. The transmission powers are allowed to take continuous values, whereas the source and channel coding rate combination can only assume discrete values. Thus, the resulting optimization problem is a mixed-integer optimization task and is solved using Particle Swarm Optimization (PSO). Experimental results are provided and conclusions are drawn.

Keywords

code division multiple access; combined source-channel coding; game theory; integer programming; particle swarm optimisation; resource allocation; spread spectrum communication; wireless sensor networks; DS-CDMA; Nash bargaining solution; PSO; direct sequence code division multiple access; game theory; joint source-channel coding; mixed-integer optimization; optimal power allocation; particle swarm optimization; resource allocation; wireless DS-CDMA visual sensor networks; Bit rate; Channel coding; Multiaccess communication; NIST; Optimization; PSNR; Resource management; Nash Bargaining Solution; Particle Swarm Optimization; Visual sensor network; cross-layer optimization; game theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on

Conference_Location

Prague

ISSN

1520-6149

Print_ISBN

978-1-4577-0538-0

Electronic_ISBN

1520-6149

Type

conf

DOI

10.1109/ICASSP.2011.5946952

Filename

5946952