Enabling energy-efficient and lossy-aware data compression in wireless sensor networks by multi-objective evolutionary optimization

Author:

Marcelloni Francesco,Vecchio Massimo

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Computer Science Applications,Theoretical Computer Science,Control and Systems Engineering,Software

Reference58 articles.

1. T. Abdelzaher, S. Prabh, R. Kiran, On real-time capacity limits of multihop wireless sensor networks, in: Proceedings of the 25th IEEE International Real-Time Systems Symposium, 2004.

2. Energy-aware lossless data compression;Barr;ACM Trans. Comput. Syst.,2006

3. Should i send now or send later? a decision-theoretic approach to transmission scheduling in sensor networks with mobile sinks;Bölöni;Wirel. Commun. Mob. Comput.,2008

4. A. Ciancio, A. Ortega, A distributed wavelet compression algorithm for wireless multihop sensor networks using lifting, in: Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’05), vol. 4, 2005.

5. A. Ciancio, S. Pattem, A. Ortega, B. Krishnamachari, Energy-efficient data representation and routing for wireless sensor networks based on a distributed wavelet compression algorithm, in: Proceedings of the Fifth International Conference on Information Processing in Sensor Networks (IPSN 2006), 2006.

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