Mainwaring2002_GreatDuckIsland - Wireless Sensor Networks...

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Unformatted text preview: Wireless Sensor Networks for Habitat Monitoring Alan Mainwaring 1 Joseph Polastre 2 Robert Szewczyk 2 David Culler 1 , 2 John Anderson 3 1 Intel Research Laboratory, Berkeley Intel Corporation { amm,dculler } 2 EECS Department University of California at Berkeley { polastre,szewczyk,culler } 3 College of the Atlantic Bar Harbor, Maine [email protected] ABSTRACT We provide an in-depth study of applying wireless sensor networks to real-world habitat monitoring. A set of system design requirements are developed that cover the hardware design of the nodes, the design of the sensor network, and the capabilities for remote data access and management. A system architecture is proposed to address these require- ments for habitat monitoring in general, and an instance of the architecture for monitoring seabird nesting environment and behavior is presented. The currently deployed network consists of 32 nodes on a small island off the coast of Maine streaming useful live data onto the web. The application- driven design exercise serves to identify important areas of further work in data sampling, communications, network re- tasking, and health monitoring. Categories and Subject Descriptors C.2.1 [ Computer Communication Networks ]: Network Architecture and Design; C.3 [ Computer Systems Orga- nization ]: Special-Purpose and Application-based Systems; J.3 [ Computer Applications ]: Life and Medical Sciences General Terms Design, Performance, Experimentation 1. INTRODUCTION Habitat and environmental monitoring represent a class of sensor network applications with enormous potential ben- efits for scientific communities and society as a whole. In- strumenting natural spaces with numerous networked micro- sensors can enable long-term data collection at scales and resolutions that are difficult, if not impossible, to obtain oth- erwise. The intimate connection with its immediate physical environment allows each sensor to provide localized mea- surements and detailed information that is hard to obtain through traditional instrumentation. The integration of lo- cal processing and storage allows sensor nodes to perform Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. To copy otherwise, to republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. WSNA’02, September 28, 2002, Atlanta, Georgia, USA. Copyright 2002 ACM 1-58113-589-0/02/0009 ... $ 5.00. complex filtering and triggering functions, as well as to apply application-specific or sensor-specific data compression algo- rithms. The ability to communicate not only allows informa- tion and control to be communicated across the network of nodes, but nodes to cooperate in performing more complex tasks, like statistical sampling, data aggregation, and sys-...
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This note was uploaded on 08/25/2011 for the course EEL 5937 taught by Professor Staff during the Spring '08 term at University of Central Florida.

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Mainwaring2002_GreatDuckIsland - Wireless Sensor Networks...

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