A Compressed Sensing Approach to Resolve The Energy Hole Problem in Large Scale WSNs
Author:
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Computer Science Applications
Link
http://link.springer.com/article/10.1007/s11277-017-5047-9/fulltext.html
Reference16 articles.
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2. Yang, P., et al. (2011). An efficient privacy preserving data aggregation scheme with constant communication overheads for wireless sensor networks. IEEE Communications Letters, 15(11), 1205–1207.
3. Abdul-Salaam, G., Abdullah, A. H., Anisi, M. H., Gani, A., & Alelaiwi, A. (2016). A comparative analysis of energy conservation approaches in hybrid wireless sensor networks data collection protocols. Telecommunication Systems, 61(1), 159–179.
4. Luo, C., Wu, F., Sun, J., & Chen, C. W. (2009). Compressive data gathering for large-scale wireless sensor networks. In Proceedings of the 15th annual international conference on Mobile computing and networking (pp. 145-156). ACM.
5. Luo, J., Xiang, L., & Rosenberg, C. (2010). Does compressed sensing improve the throughput of wireless sensor networks?. In Communications (ICC), 2010 IEEE international conference on (pp. 1-6). IEEE.
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