ANALYSIS OF WIRELESS SENSOR NETWORKS FOR HABITAT MONITORING

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ANALYSIS OF WIRELESS SENSOR NETWORKS FOR HABITAT MONITORING (2004)

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by Joseph Polastre , Robert Szewczyk , Alan Mainwaring , David Culler , John Anderson

Citations:

1487 - 19 self

BibTeX

@MISC{Polastre04analysisof,
    author = {Joseph Polastre and Robert Szewczyk and Alan Mainwaring and David Culler and John Anderson},
    title = { ANALYSIS OF WIRELESS SENSOR NETWORKS FOR HABITAT MONITORING},
    year = {2004}
}

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Abstract

We provide an in-depth study of applying wireless sensor networks (WSNs) to real-world habitat monitoring. A set of system design requirements were developed that cover the hardware design of the nodes, the sensor network software, protective enclosures, and system architecture to meet the requirements of biologists. In the summer of 2002, 43 nodes were deployed on a small island off the coast of Maine streaming useful live data onto the web. Although researchers anticipate some challenges arising in real-world deployments of WSNs, many problems can only be discovered through experience. We present a set of experiences from a four month long deployment on a remote island. We analyze the environmental and node health data to evaluate system performance. The close integration of WSNs with their environment provides environmental data at densities previously impossible. We show that the sensor data is also useful for predicting system operation and network failures. Based on over one million 2 Polastre et. al. data readings, we analyze the node and network design and develop network reliability profiles and failure models.

Keyphrases

system design requirement failure model network reliability profile node health data hardware design many problem useful live data small island system performance sensor network software close integration environmental data system operation network design network failure data reading real-world habitat monitoring wireless sensor network real-world deployment remote island protective enclosure system architecture in-depth study sensor data

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