monitoring heritage buildings with wireless sensor networks: the

Vermelding onderdeel organisatie

March 25, 2009

Monitoring Heritage Buildings withWireless Sensor Networks: The Torre Aquila Deployment

IN4316 Seminar Wireless Sensor NetworksPanagiotis AfratisMarch 25, 2009

Matteo Ceriotti, Luca Mottola, Gian Pietro Picco, Amy L. Murphy, Stefan Guna, Michele Corrà, Matteo Pozzi, Daniele Zonta, Paolo Zanon

University of Trento, Italy

8th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN09), April 13-16, 2009, San Francisco, USA

Introduction

• Preservation of heritage buildings• Monitoring vibrations, temperature, and humidity

• Torre Aquila• A 31 meter-tall medieval tower

in the city of Trento (Italy)

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Introduction

• Peculiarity of the Torre Aquila WSN Deployment• Heterogeneity• Temporal span• Online tasking

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Overview

• Related Work• Hardware• Software Design• Deployment• Evaluation• Conclusion

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Related Work

• Environmental monitoring applications• low-power operation allowing them to run for long periods• high-rate, high-fidelity ones running only for a relatively short time

• Most deployments deal only with monitoring vibrations• Bottom-up hardware design for a given deployment• In software, mostly feature ad-hoc implementations

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Hardware

• 3Mate! WSN nodes (TI MSP430 CPU, ChipCon 2420 Radio)

• 4 different customization of nodes• Environmental nodes• Deformation nodes• Acceleration nodes• Sink node

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Software Design

• Software Architecture

• TeenyLIME

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Software Design

• Sampling and Data Collection (1)• Requirements and challenges

• Two classes of trafficI. Bursty, high-rate data with strong reliability requirementsII. Low-rate data with weak reliability requirements

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Software Design

• Sampling and Data Collection (2)• Design and implementation

Handing sampled data over for routing towards the sink.

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Software Design

• Time Synchronization• Design and implementation

• Tasking and Data Dissemination• TeenyLime : Deployment-driven Enhancements

• Typed tuples and dynamic memory• Automatic field types.• Reliable, low-power operations.

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Deployment• Node Placement [16 Nodes]

(3 Acceleration, 2 Deformation, 11 Environmental, plus Sink node)

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Deployment

• Data Visualizationand Access

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Evaluation

• Reliable delivery of data (1)• Overall data loss rate always remained below 0.01%

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Evaluation

• Reliable delivery of data (2)

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Evaluation

• Effective compression of acceleration readings• Use of Huffman compression scheme

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Evaluation

• Energy consumption and system lifetime

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Evaluation

• Programming effort

• Decoupling and reusability

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Conclusion

• The deployment faces successfully the challenges of • Heterogeneity• Temporal span• Online tasking

• WSN achieves highly reliable data delivery• The use of the TeenyLIME middleware offers highly

reusable and easily extensible software services• Deployment of the system in other heritage buildings

will verify the flexibility and reusability of the design

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