DocumentCode
85890
Title
Effective Resource Management in Visual Sensor Networks With MPSK
Author
Odejide, O.O. ; Bentley, E.S. ; Kondi, Lisimachos P. ; Matyjas, John D.
Author_Institution
Air Force Res. Lab., Rome, NY, USA
Volume
20
Issue
8
fYear
2013
fDate
Aug. 2013
Firstpage
739
Lastpage
742
Abstract
The problem of resource management in a Direct Sequence Code Division Multiple Access (DS-CDMA) wireless Visual Sensor Network (VSN) with M-array Phase Shift Keying (MPSK) modulation in an Additive White Gaussian Network (AWGN) channel was considered in this paper. Achieving maximum video quality, in spite of the prevailing network resource constraints, is of utmost importance in VSN applications. Our optimization scheme is based on the Nash Bargaining Solution (NBS). The nodes in the network negotiate in order to determine their transmission parameters (transmission powers; source and channel coding rates for each node). The task is to optimize the transmission powers (which are continuous) and the source and channel coding rates (which are discrete) for all the network nodes, while taking advantage of the improved bandwidth spectral efficiency provided by the higher order constellation.
Keywords
AWGN channels; channel coding; code division multiple access; game theory; optimisation; phase shift keying; source coding; spread spectrum communication; telecommunication network management; wireless sensor networks; AWGN channel; DS-CDMA; M-array phase shift keying modulation; MPSK; NBS; Nash bargaining solution; VSN applications; additive white Gaussian network channel; bandwidth spectral efficiency improvement; channel coding rates; direct sequence code division multiple access; higher order constellation; maximum video quality; network resource constraints; optimization scheme; resource management; source coding rates; transmission powers; wireless visual sensor network; Binary phase shift keying; Channel coding; Convolutional codes; Optimization; Resource management; Visualization; Cross layer optimization; MPSK; Nash bargaining solution; game theory; visual sensor network;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2013.2265912
Filename
6522865
Link To Document