NDLI: On the design of static and dynamic energy-aware task mapping algorithms for body area networks

Content Provider	IEEE Xplore Digital Library
Author	Subrahmanya, C.U. Veeravalli, B. Yanhong Liu Viswanathan, S.
Copyright Year	2008
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore (Subrahmanya, C.U.; Veeravalli, B.; Yanhong Liu; Viswanathan, S.)
Abstract	In this paper we propose novel energy-aware task-mapping algorithms -static and dynamic, for body area networks (BANs). These algorithms map tasks onto a heterogeneous wireless system of sensor nodes such that the tasks meet the deadline and also the energy consumption is a minimum. The static mapping algorithm uses the max-flow min-cut algorithm to obtain an efficient initial mapping. Then the dynamic algorithm uses the scaling factor criteria to improve the mapping and works in an iterative fashion to improve the quality of mapping. We illustrate the workings of these algorithms via examples for the ease of understanding.
Starting Page	153
Ending Page	156
File Size	312387
Page Count	4
File Format	PDF
ISBN	9781424422524
DOI	10.1109/ISSMDBS.2008.4575041
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-01
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Body area networks Body sensor networks Wireless sensor networks Sensor systems Iterative algorithms Batteries Biosensors Heuristic algorithms Energy consumption
Content Type	Text
Resource Type	Article

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