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SGSIA-In-network Data Preprocessing for Secure Grid-Sensor Integration

A recent paper authored by DART personnel has been accepted for publication at the 2nd IEEE International Conference on e-Science and Grid Computing, Amsterdam, The Netherlands

Title :  SGSIA-In-network Data Preprocessing for Secure Grid-Sensor Integration
Authors : Zubair A. Baig, Mohamed Baqer, and Asad I. Khan
Conference : 2nd IEEE International Conference on e-Science and Grid Computing


Abstract
With rapid advances being made in sensor technology, wireless sensor networks (WSNs) have emerged as an essential source of data for storage and processing on high performance computing grids. The significant amount of data generated by sensor networks requires preprocessing at the source-end, to ensure reduction in the total volume of data generated for transfer and storage in high performance grid systems. There exists a lack of an infrastructure for optimal and efficient retrieval of sensor data through grid-sensor integration, and facilitation of efficient sensor resource sharing in environments with multiple WSNs. In this paper, we propose the Secure Grid-Sensor Integration Architecture (SGSIA), as a secure, scalable, and intelligent architecture for the integration of resource constrained sensor networks into the grid.


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