Paper Info
Title
Multi-sensor cross correlation for alarm generation in a deployed sensor network
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.
Year
DOI
Venue
2007
10.1007/978-3-540-75696-5_18
EuroSSC
Keywords
Field
DocType
complete network,remote real time reporting,multi-sensor cross correlation,great crowden brook,gsm access,multihop communication strategy,peak district,network status,sensor network,alarm generation,environmental data sample,available sensor input,data analysis,rule based,real time,surface water,cross correlation,soil moisture,data handling
Cross-correlation,Data mining,GSM,Rule-based system,ALARM,Computer science,Decision support system,Real-time computing,Environmental data,Group method of data handling,Wireless sensor network
Conference
Volume
ISSN
ISBN
4793
0302-9743
3-540-75695-7
Citations 
PageRank 
References 
8
0.54
3
Authors
5
Name
Order
Citations
PageRank
Ian W. Marshall110812.03
Mark price291.25
Hai Li380.54
Norman F. Boyd491.06
S. Boult580.54