access icon free Optimal gateway selection in sensor–cloud framework for health monitoring

© The Institution of Engineering and Technology
Received 15/06/2013, Accepted 01/10/2013, Revised 29/08/2013, Published 19/12/2013

Sensor–cloud computing is envisioned to be one of the key enabling technologies for remote health monitoring. Integration of sensed data into cloud applications in sensor–cloud will help in real-time monitoring of patients over geographically distributed locations. In this study, the authors study the optimal gateway selection problem in sensor–cloud framework for real-time patient monitoring system by using a zero-sum game model. In the proposed model, a gateway acts as the first player, and chooses the strategy based on the available bandwidth, whereas a user request acts as the second player, and follows the strategy chosen by the first player. The authors evaluate the execution time for selecting the optimal gateway through which the sensed data will be fetched to the cloud platform. In addition, the authors show how user requests are serviced by the gateways to access data from cloud platform optimally. The authors also show that by using the proposed approach, the execution time decreases, thereby helping in forming a reliable, efficient and real-time architecture for health monitoring.

Inspec keywords: game theory; patient monitoring; telemedicine; real-time systems; cloud computing; internetworking; health care

Other keywords: real-time architecture; optimal gateway selection problem; sensor-cloud computing; real-time patient monitoring system; remote health monitoring; execution time; zero-sum game model

Subjects: Game theory; Internet software; Medical administration

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