Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
Comprehensive Optimization of Declarative Sensor Network Queries
SSDBM 2009 Proceedings of the 21st International Conference on Scientific and Statistical Database Management
Fast track article: Design of smart sensing components for volcano monitoring
Pervasive and Mobile Computing
Efficient pattern detection in extremely resource-constrained devices
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
SNEE: a query processor for wireless sensor networks
Distributed and Parallel Databases
Complex Event Detection in Extremely Resource-Constrained Wireless Sensor Networks
Mobile Networks and Applications
QoS-aware optimization of sensor network queries
The VLDB Journal — The International Journal on Very Large Data Bases
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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.