Integrating Wireless Sensor Networks with Computational Grids

Wireless sensor networks (WSNs) have been greatly developed and emerged their significance in a wide range of important applications such as acquisition and process information from the physical world. The evolvement of Grid computing has been based on coordination of distributed and shared resources. A Sensor Grid network can integrate these two leading technologies enabling real-time sensor data collection, the sharing of computational and storage grid resources for sensor data processing and management. Several issues have occurred from this integration which dispute the modern design of sensor grids. In order to address these issues, in this paper we propose a sensor grid architecture supporting it by a testbed which focuses on the design issues and on the improvement of our sensor grid architecture design.