Title :
Maximizing the lifetime of clusters with Slepian-Wolf coding
Author :
Wang, Tianqi ; Heinzelman, Wendi ; Seyedi, Alireza ; Vosoughi, Azadeh
Author_Institution :
Electr. & Comput. Eng. Dept., Univ. of Rochester, Rochester, NY, USA
Abstract :
In this paper, we propose an iteration-free algorithm to find the optimal configuration, including transmit power and source coding rates, to maximize the lifetime of a cluster utilizing Slepian-Wolf source coding of data sent to a fusion center. Exact closed form solutions are derived when the fusion center is not energy constrained. When the fusion center is energy constrained, a near optimum solution is provided. Numerical results demonstrating the performance of the proposed algorithms are also provided.
Keywords :
energy conservation; source coding; statistical analysis; Slepian-Wolf source coding; cluster lifetime; energy efficiency; fusion center; iteration-free algorithm; AWGN; Circuits; Closed-form solution; Clustering algorithms; Data compression; Energy consumption; Energy efficiency; Sensor fusion; Source coding; Wireless sensor networks; Distributed source coding; Energy efficiency; Lifetime; Wireless sensor networks;
Conference_Titel :
Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
Conference_Location :
Dallas, TX
Print_ISBN :
978-1-4244-4295-9
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2010.5496160