Abstract
Wireless sensor networks (WSNs) use energy for their sensing, computation, and communication. To increase the lifetime of the network, sensor nodes are equipped with energy storage devices. Recharging of their batteries is not possible in most applications. Therefore, energy consumption needs to be monitored and limited to increase the energy consumption performance of the network. The communication module uses the highest amount of energy in a WSN. Among several methods offered to reduce the energy consumption, data compression has the highest effect on the energy usage by reducing the number of bits to be broadcasted. This paper illustrates an energy consumption reduction in WSN by compression data. Text data were tested one time with original size and one more time with compressed size with different routing algorithms in Wireless Sensor Network.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kimura N, Latifi Sh (2005) A survey on data compression in wireless sensor networks, International Conference on Information Technology, vol 2. pp 214–219
Ergen SC, Varaiya P (2005) On multi-hop routing for energy efficiency, IEEE Commun Lett 9(10):880–881
Jolly V, Latifi SH, Kimura N (1990) Energy-efficient routing in wireless sensor networks based on data reduction, IEEE Trans On Comput 16(10):1150–1163
Akyildiz IF, Su W, Sankarasubramaniam Y Cayirci E (2002) Wireless sensor networks: a survey, Elsevier Computer Networks 38(4):393–422
Pu IM (2006) Fundamental data compression. Elsevier, Britain
Blelloch E (2002) Introduction to data compression, Computer Science Department, Carnegie Mellon University, Pittsburgh
Kesheng W, Otoo, J Arie S (2006) Optimizing bitmap indices with efficient compression, ACM Trans Database Systems 31:1–38
Gawthrop J, Liuping W (2005) Data compression for estimation of the physical parameters of stable and unstable linear systems, Automatica, 41:1313–1321
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media New York
About this paper
Cite this paper
Izadian, R., Manzuri, M.T. (2013). Energy Aware Data Compression in WSN. In: Elleithy, K., Sobh, T. (eds) Innovations and Advances in Computer, Information, Systems Sciences, and Engineering. Lecture Notes in Electrical Engineering, vol 152. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-3535-8_56
Download citation
DOI: https://doi.org/10.1007/978-1-4614-3535-8_56
Published:
Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-3534-1
Online ISBN: 978-1-4614-3535-8
eBook Packages: EngineeringEngineering (R0)