An Optimal Health Service Discovery for Ubiquitous Health Service Provisioning

Locating appropriate service and communicating it to the requester at the point of need within the shortest possible time is a key issue in ubiquitous health service provisioning. Failure to provide the health service at the exact time needed can result in erroneous diagnosis and treatment. Hence, there is a need for real time service discovery of requested services for prompt healthcare service provisioning. This paper proposes a peer-to-peer health service discovery solution that discovers and maintains a set of shortest service path to existing healthcare service types within a distributed health service network. We introduce an optimal service path cache (OSPC) for maintaining the shortest service paths provided by learning automata mapped to the supernodes. The proposed solution was compared with existing methods and showed an improved performance in service

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