Approximate Data Collection in Sensor Networks using Probabilistic Models
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Model-driven data acquisition in sensor networks
VLDB '04 Proceedings of the Thirtieth international conference on Very large data bases - Volume 30
MuMHR: Multi-path, Multi-hop Hierarchical Routing
SENSORCOMM '07 Proceedings of the 2007 International Conference on Sensor Technologies and Applications
Experimental Applications of Hierarchical Mapping Services in Wireless Sensor Networks
SENSORCOMM '08 Proceedings of the 2008 Second International Conference on Sensor Technologies and Applications
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Wireless sensor networks (WSNs) have an intrinsic interdependency with the environments in which they operate. The part of the world with which an application is concerned is defined as that application's domain. This paper advocates that an application domain of a WSN application can serve as a supplement to analysis, interpretation, and visualisation methods and tools. We believe it is critical to elevate the capabilities of the visualisation service, the mapping service, proposed in [1] to make use of the special characteristics of an application domain. In this paper, we propose an adaptive Multi-Dimensional Application Domain-driven (M-DAD) visualisation framework that is suitable for visualising an arbitrary number of sense modalities and other parameters of the application domain to improve the visualisation performance. M-DAD starts with an initial user defined model that is maintained and updated throughout the network lifetime. The experimental results demonstrate that M-DAD visualisation framework performs as well or better than visualisation services without its extended capabilities.