NDLI: uSense: A Unified Asymmetric Sensing Coverage Architecture for Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Yu Gu Joengmin Hwang Tian He Du, D.H.-C.
Copyright Year	2007
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Minnesota Univ., Minneapolis, MN (Yu Gu; Joengmin Hwang; Tian He; Du, D.H.-C.)
Abstract	As a key approach to achieve energy efficiency in sensor networks, sensing coverage has been studied extensively. Researchers have designed many coverage protocols to provide various kinds of service guarantees on the network lifetime, coverage ratio and detection delay. While these protocols are effective, they are not flexible enough to meet multiple design goals simultaneously. In this paper, we propose a unified sensing coverage architecture, called uSense, which features three novel ideas: asymmetric architecture, generic switching and global scheduling. We propose asymmetric architecture based on the conceptual separation of switching from scheduling. Switching is efficiently supported in sensor nodes, while scheduling is done in a separated computational entity, where multiple scheduling algorithms are supported. As an instance, we propose a two-level global coverage algorithm, called uScan. At the first level, coverage is scheduled to activate different portions of an area. We propose an optimal scheduling algorithm to minimize area breach. At the second level, sets of nodes are selected to cover active portions. Importantly, we show the feasibility to obtain optimal set-cover results in linear time if the layout of areas satisfies certain conditions. We evaluate our architecture with a network of 30 MicaZ motes, an extensive simulation with 10,000 nodes, as well as theoretical analysis. The results indicate that uSense is a promising architecture to support flexible and efficient coverage in sensor networks.
Sponsorship	IEEE Comput. Soc. Tech. Comm. Distributed Process.
Starting Page	8
Ending Page	8
File Size	479231
Page Count	1
File Format	PDF
ISBN	0769528373
ISSN	10636927
DOI	10.1109/ICDCS.2007.150
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-06-25
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Processor scheduling Optimal scheduling Computer architecture Algorithm design and analysis Scheduling algorithm Delay Intelligent sensors Energy efficiency Protocols
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software

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