Effective Resource Management in Visual Sensor Networks With MPSK

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.

[1]  Lisimachos P. Kondi,et al.  Optimal power allocation and joint source-channel coding for wireless DS-CDMA visual sensor networks using the Nash Bargaining Solution , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

[2]  Wei-Min Zhang,et al.  Finite State Systems in Mobile Communications , 1996 .

[3]  Max M.-K. Liu,et al.  A new power control function for multirate DS-CDMA systems , 1999, IEEE Trans. Commun..

[4]  Dongfeng Yuan,et al.  Optimizing cooperative video streaming in wireless networks , 2011, 2011 8th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks.

[5]  Gottfried Ungerboeck,et al.  Channel coding with multilevel/phase signals , 1982, IEEE Trans. Inf. Theory.

[6]  Elizabeth S. Bentley,et al.  GAME-theory-based cross-layer optimization for wireless DS-CDMA visual sensor networks , 2010, 2010 IEEE International Conference on Image Processing.

[7]  Lisimachos P. Kondi,et al.  Optimal power allocation and joint source-channel coding for wireless DS-CDMA visual sensor networks , 2011, Electronic Imaging.

[8]  Martin Reisslein,et al.  A survey of multimedia streaming in wireless sensor networks , 2008, IEEE Communications Surveys & Tutorials.

[9]  Michael N. Vrahatis,et al.  Particle Swarm Optimization and Intelligence: Advances and Applications , 2010 .

[10]  Elizabeth S. Bentley,et al.  Spread Spectrum Visual Sensor Network Resource Management Using an End-to-End Cross-Layer Design , 2011, IEEE Transactions on Multimedia.

[11]  Joachim Hagenauer,et al.  Rate-compatible punctured convolutional codes (RCPC codes) and their applications , 1988, IEEE Trans. Commun..