Abstract
We are developing a sensor network to assess the hydro-dynamics of surface water drainage into Great Crowden Brook in the Peak District (UK). The complete network will observe soil moisture, temperature and rainfall on a number of vertical slope transects. GSM access for remote real time reporting of network status is only available from the hilltops so a multihop communication strategy is being used. To minimise radio usage and maximise battery life we are reporting only those alarms and events that are judged to be of high priority by a simple rule based decision engine, based on spatio-temporal cross-correlation of the available sensor inputs. In this paper we present the data handling strategy, report the findings from the initial technology trial and discuss the implications of the recovered environmental data samples for the design of effective alarm generation rules. It is clear that the measurements can always be interpreted more reliably when richer contextual information is captured, but care must be taken with the choice of observables.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Websites for work in USA: http://www-mtl.mit.edu/research/icsystems/uamps/ http://www.isi.edu/scadds/pc104testbed/guideline.html http://webs.cs.berkeley.edu/ http://cens.ucla.edu/http://dsn.east.isi.edu/ http://www.ices.cmu.edu/sensornets/
Websites for work in Europe: http://eyes.eu.org/ http://www.smart-its.org/
Websites for work in Australia: http://www.ee.unimelb.edu.au/ISSNIP/ http://www.csse.uwa.edu.au/adhocnets/WSNgroup/ http://www.csiro.au/resources/pfik.html
PROSEN: Proactive Condition Monitoring of Sensor Networks, http://www.prosen.org.uk
DIAS: Design Implementation and Adaptation of Sensor Networks, http://www.dcs.gla.ac.uk/dias/
Li, H., Price, M.C., Stott, J., Marshall, I.W.: The development of a Wireless Sensor Network sensing node utilising adaptive self-diagnostics. LNCS. Springer, Heidelberg (2007)
Cardell-Oliver, R., Smettem, K., Kranz, M., Mayer, K.: A Reactive Soil Moisture Sensor Network: Design and Field Evaluation. International Journal of Distributed Sensor Networks 1(2), 149–162 (2005)
Turau, V., Witt, M., Weyer, C.: Analysis of a real multi-hop sensor network deployment: The Heathland Experiment. In: INSS 2006. Proceedings of the Third International Conference on Networked Sensing Systems, Chigago, Illinois (June 2006)
Xu, Y., Heidemann, J., Estrin, D.: Geography-informed Energy Conservation for Ad Hoc Routing. In: Hughes, D., Greenwood, P., Coulson, G., Blair, G., Pappenberger, F., Smith, P., Beven, K. (eds.) Proc. ACM/IEEE Int. Conf. on Mobile Computing and Networking, July 2001, Rome, Italy. An Experiment with Reflective Middleware to Support Grid-based Flood Monitoring, submitted to the Wiley InterScience Journal on Concurrency and Computation: Practice and Experience, pp. 70–84 (June 2007)
Grace, P., Hughes, D., Porter, B., Coulson, G., Blair, G.: Middleware Support for Dynamic Reconfiguration in Sensor Networks. Invited submission to Distributed Systems Online (DS Online) (April 2007)
Tateson, J., Roadknight, C., Gonzalez, A., Khan, T., Fitz, S., Henning, I., Boyd, N., Vincent, C., Marshall, I.W.: Real World Issues in Deploying a Wireless Sensor Network. In: REALWSN 2005. Workshop on Real-World Wireless Sensor Networks, Stockholm, Sweden (June 2005)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Marshall, I.W., Price, M., Li, H., Boyd, N., Boult, S. (2007). Multi-sensor Cross Correlation for Alarm Generation in a Deployed Sensor Network. In: Kortuem, G., Finney, J., Lea, R., Sundramoorthy, V. (eds) Smart Sensing and Context. EuroSSC 2007. Lecture Notes in Computer Science, vol 4793. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75696-5_18
Download citation
DOI: https://doi.org/10.1007/978-3-540-75696-5_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75695-8
Online ISBN: 978-3-540-75696-5
eBook Packages: Computer ScienceComputer Science (R0)