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DiMo: distributed node monitoring in wireless sensor networks
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International Workshop on Modeling Analysis and Simulation of Wireless and Mobile Systems archive
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems table of contents
Vancouver, British Columbia, Canada
SESSION: Wireless sensor networks table of contents
Pages 117-121  
Year of Publication: 2008
ISBN:978-1-60558-235-1
Authors
Andreas Meier  ETH Zurich, Zurich, Switzerland
Mehul Motani  National University of Singapore, Singapore, Singapore
Hu Siquan  National University of Singapore, Singapore, Singapore
Simon Künzli  Siemens Building Technologies, Zug, Switzerland
Sponsors
ACM: Association for Computing Machinery
SIGSIM: ACM Special Interest Group on Simulation and Modeling
Publisher
ACM  New York, NY, USA
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ABSTRACT

Safety-critical wireless sensor networks, such as a distributed fire- or burglar-alarm system, require that all sensor nodes are up and functional. If an event is triggered on a node, this information must be forwarded immediately to the sink, without setting up a route on demand or having to find an alternate route in case of a node or link failure. Therefore, failures of nodes must be known at all times and in case of a detected failure, an immediate notification must be sent to the network operator. There is usually a bounded time limit, e.g., five minutes, for the system to report network or node failure. This paper presents DiMo, a distributed and scalable solution for monitoring the nodes and the topology, along with a redundant topology for increased robustness. Compared to existing solutions, which traditionally assume a continuous data-flow from all nodes in the network, DiMo observes the nodes and the topology locally. DiMo only reports to the sink if a node is potentially failed, which greatly reduces the message overhead and energy consumption. DiMo timely reports failed nodes and % greatly minimizes the false-positive rate and energy consumption compared with other prominent solutions for node monitoring.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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A. Meier, T. Rein, et al. Coping with unreliable channels: Efficient link estimation for low-power wireless sensor networks. In Proc. 5th Int'l Conf. Networked Sensing Systems (INSS 2008), 2008.
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M. Strasser, A. Meier, et al. Dwarf: Delay-aware robust forwarding for energy-constrained wireless sensor networks. In Proceedings of the 3rd IEEE Int'l Conference on Distributed Computing in Sensor Systems (DCOSS 2007), 2007.
 
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M. Zuniga and B. Krishnamachari. Analyzing the transitional region in low power wireless links. In IEEE SECON 2004, 2004.
 
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Fire detection and fire alarm systems -- Part 25: Components using radio links. European Norm (EN) 54-25:2008-06, 2008.

Collaborative Colleagues:
Andreas Meier: colleagues
Mehul Motani: colleagues
Hu Siquan: colleagues
Simon Künzli: colleagues