NDLI: Comparisons of maximum system lifetime in diverse scenarios for body sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Mondal, N.I. Zaman, S.U. Al Masud, A. Alam, J.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Rajshahi Univ. of Eng. & Technol., Rajshahi (Mondal, N.I.; Zaman, S.U.; Alam, J.) \|\| Dept. of Electron. & Telecommun., Int. Islamic Univ. Chittagong, Chittagong (Al Masud, A.)
Abstract	In this paper, the main target is to compare the system lifetimes in diverse scenarios based on our new energy dissipation model in the body sensor network as well as maximize the system lifetime of sensor nodes when they will make communication among body sensors and personal communication unit. Nowadays, the ultra low energy consumption is the very much important challenge for medical applications. The best compression technique like LPC is selected for energy saving based on some calculations. This research work studies and analyzes the transceiver energy consumption for different compression algorithms and select the best technique like LPC for energy saving. Formulation of a linear programming problem is also the important part of this research work, where is to maximize the system lifetime which is equivalent to the time until the first node runs out of battery. Maximum system lifetimes are calculated by MATLAB optimization technique using and without using efficient compression algorithm like LPC in various environments. Results show that maximum system lifetimes calculated in different scenarios using efficient compression technique like LPC is better than without using compression technique.
Starting Page	73
Ending Page	78
File Size	1095103
Page Count	6
File Format	PDF
ISBN	9781424421350
DOI	10.1109/ICCITECHN.2008.4803006
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-24
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Energy consumption Biomedical equipment Medical services maximum system lifetime Linear predictive coding Sensor systems low energy consumption Compression algorithms WBSN Body sensor networks Energy dissipation linear prediction coding (LPC) linear problem Mathematical model transmitting energy and receiving energy
Content Type	Text
Resource Type	Article

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