NDLI: Optimization on distributed user management in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	MingJian Tang Jinli Cao
Copyright Year	2007
Description	Author affiliation: Dept. of Comput. Sci. & Comput. Eng., La Trobe Univ. Melbourne, Melbourne, VIC (MingJian Tang; Jinli Cao)
Abstract	In this paper, we address one of the wireless sensor network (WSN) management problems - optimization on the execution of multiple commands. The objective of the paper is to provide efficient support for pre-processing a set of commands before disseminating into the sensor network. It is important that only necessary work will be assigned to the sensor network by virtue of strict energy constraint. The problem is NP-hard. We divide the problem into a series of tractable sub-problems along with their solutions. We present a novel hierarchical quadrant-based field partition mechanism to virtually divide the sensor field. We also classify and model WSN management commands. We then identify merging possibilities for a given command, which results in several merging rules and constraints. Lastly, we evaluate a simulated annealing based search algorithm for finding optimal merge order. The results show that energy can be significantly saved within short time-delay while the overall effects of the final command set still satisfies the users' requirements.
Starting Page	1
Ending Page	8
File Size	156528
Page Count	8
File Format	PDF
ISBN	9781424418893
ISSN	15219097
DOI	10.1109/ICPADS.2007.4447761
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-12-05
Publisher Place	Taiwan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Computer network management Merging Partitioning algorithms Engineering management Simulated annealing Environmental management Computer science Computer networks Distributed computing Heuristics Wireless Sensor Networks Multi-Command Optimization Hierarchical Quadrant-based
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture

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