@inproceedings{c6466e34cc514087aeb6f17dbf151913,
title = "Distributed optimal source coding rate allocation for data aggregation in wireless sensor networks",
abstract = "In wireless sensor networks (WSNs), there usually exist spatial overlap and data correlation among sensors. Reducing data redundancy is crucial for prolonging network lifetime inWSNs. Source coding is an effective method for data aggregation to reduce data redundancy. However, source coding was regarded as an independent problem in previous work. Little work pays attention to optimal coding rate and associates it with underlying protocols. In this paper, we adopt Slepian-Wolf theorem to achieve the boundary of coding rate, and propose a cross-layer optimization framework to give the optimal source coding rate and flow allocation. We seek to establish a structure-free, multipath transmission model. To the best of our knowledge, this is the first work to solve the optimal source coding rate allocation problem in WSNs. Our extensive simulation results demonstrate that the proposed framework can reduce network traffic and extend network lifetime significantly.",
keywords = "Cross-layer design, Flow allocation, Information entropy, Source coding rate, Wireless sensor networks",
author = "Yang Yang and Songtao Guo and Yuanyuan Yang",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016 ; Conference date: 13-12-2016 Through 16-12-2016",
year = "2016",
month = jul,
day = "2",
doi = "10.1109/ICPADS.2016.0014",
language = "English",
series = "Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS",
publisher = "IEEE Computer Society",
pages = "32--39",
editor = "Xiaofei Liao and Robert Lovas and Xipeng Shen and Ran Zheng",
booktitle = "Proceedings - 22nd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2016",
}