Mathematical Approach Of Q-Learning With Temporal Difference Method In Sensor Data Communication In Cloud Environment

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P. Abirami, et. al.


Access to data is efficient and can be managed with minimal sensors. However the sensor data captured at different locations can be integrated to the cloud[11]In this work, we derived the optimum path, which is the shortest, and the time and power are optimized. We consider the network topologies where nodes and paths are assigned by a definite probability. The Bellman equation and the temporal difference method are used in Q-learning. Bellman -Temporal based algorithm is used for finding the optimal path among users in the cloud environment.

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