Sensor grid resource management: model and implementation issues
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1Department of Computer Science, Wuhan University of Technology, Wuhan 430063, PR China; State Key Laboratory of Software Development Environment, Beihang University, Beijing 100191, China.
Abstract:
This paper studies optimal sensor resource management in sensor grids. We formalize the problem using nonlinear optimization theory, which incorporates sensor resource constraint, energy, and expense budget. The paper also presents a pricing-based iterative algorithm for sensor management which balances the sensor user׳ QoS requirements to achieve a sensor system optimization based on the preference of the sensor service users. The paper discusses implementation issues of sensor management. Simulations reveal that the proposed sensor management algorithms can obtain better performance than a previous approach.

