Optimal data compression and forwarding in wireless sensor networks
- 29 April 2010
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Communications Letters
- Vol. 14 (5), 408-410
- https://doi.org/10.1109/lcomm.2010.05.092372
Abstract
In this letter, we present a Linear Programming framework for modeling dynamic data compression and decompression in conjunction with flow balancing in wireless sensor networks. Using the developed framework, we investigated the sensor network lifetimes for different network sizes with various data compression and flow balancing strategies. Our results show that neither compressing all data nor avoiding data compression completely can achieve the longest possible network lifetime. Dynamic data transformation is shown to achieve significantly longer network lifetimes than the lifetimes obtained with the two pure strategies above.Keywords
This publication has 6 references indexed in Scilit:
- Energy-efficient relaying in wireless networksAEU - International Journal of Electronics and Communications, 2009
- General Network Lifetime and Cost Models for Evaluating Sensor Network Deployment StrategiesIEEE Transactions on Mobile Computing, 2008
- Data Gathering with Tunable Compression in Sensor NetworksIEEE Transactions on Parallel and Distributed Systems, 2008
- Energy-aware lossless data compressionACM Transactions on Computer Systems, 2006
- On multi-hop routing for energy efficiencyIEEE Communications Letters, 2005
- Energy consumption and image quality in wireless video-surveillance networksPublished by Institute of Electrical and Electronics Engineers (IEEE) ,2002