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. 2012 Oct 1;12(10):13295-332.
doi: 10.3390/s121013295.

WikiSensing: an online collaborative approach for sensor data management

Dilshan Silva  1 , Moustafa Ghanem, Yike Guo
Affiliations

WikiSensing: an online collaborative approach for sensor data management

Dilshan Silva et al. Sensors (Basel). .

Abstract

This paper presents a new methodology for collaborative sensor data management known as WikiSensing. It is a novel approach that incorporates online collaboration with sensor data management. We introduce the work on this research by describing the motivation and challenges of designing and developing an online collaborative sensor data management system. This is followed by a brief survey on popular sensor data management and online collaborative systems. We then present the architecture for WikiSensing highlighting its main components and features. Several example scenarios are described to present the functionality of the system. We evaluate the approach by investigating the performance of aggregate queries and the scalability of the system.

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Figures

Figure 1.
Figure 1.
The architecture of WikiSensing.
Figure 2.
Figure 2.
The WikiSensing Hybrid Data Storage Model.
Figure 3.
Figure 3.
Collaborating sensors to create virtual sensors.
Figure 4.
Figure 4.
The WikiSensing Information Layers.
Figure 5.
Figure 5.
Example of the sensor, user reliability rating and difference of the sensor reading.
Figure 6.
Figure 6.
The multiplicity between the environment and its data streams.
Figure 7.
Figure 7.
WikiSensing graphical view of sensor data streams.
Figure 8.
Figure 8.
Wiki pages that record the sensor and data stream information.
Figure 9.
Figure 9.
Wiki pages to record the sensor meta-data.
Figure 10.
Figure 10.
The WikiSensing map illustrating the deployment of sensors.
Figure 11.
Figure 11.
Selecting sensors to create a virtual sensor.
Figure 12.
Figure 12.
WikiSensing Interface for selecting sensor streams to create a virtual sensor.
Figure 13.
Figure 13.
Wiki pages to record the creation of virtual sensors.
Figure 14.
Figure 14.
Aggregate sensor data streams to create virtual sensors that fully overlap with other virtual sensors (a) Using naïve methodology. (b) Using WikiSensing methodology.
Figure 15.
Figure 15.
Aggregate sensor data streams to create virtual sensors that do not fully overlap with other virtual sensors (a) Using naïve methodology. (b) Using WikiSensing methodology.
Figure 16.
Figure 16.
Response times for querying a single physical sensor by increasing the number of clients.
Figure 17.
Figure 17.
Comparing the response times for querying a single virtual sensor (a) With a window size of 10. (b) With a window size of 1,000.
Figure 18.
Figure 18.
Response times for querying a single virtual sensor (a) Increasing the number of contributing sensors with 100 concurrent users (b) Increasing the number of users with 50 sensors.
Figure 19.
Figure 19.
The proposed new layer for organizing the sensor data and user annotations.
See this image and copyright information in PMC

References

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