Distributed discrete-event simulation
ACM Computing Surveys (CSUR)
Architecture of a Large-Scale Location Service
ICDCS '02 Proceedings of the 22 nd International Conference on Distributed Computing Systems (ICDCS'02)
Introduction: Service-oriented computing
Communications of the ACM - Service-oriented computing
Efficiently Managing Context Information for Large-Scale Scenarios
PERCOM '05 Proceedings of the Third IEEE International Conference on Pervasive Computing and Communications
Mobile Service Platform: A Middleware for Nomadic Mobile Service Provisioning
WIMOB '06 Proceedings of the 2006 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
An overview of vertical handover decision strategies in heterogeneous wireless networks
Computer Communications
Towards location based QoS-aware network selection mechanism for the nomadic mobile services
CCNC'09 Proceedings of the 6th IEEE Conference on Consumer Communications and Networking Conference
A profile based vertical handoff scheme for ubiquitous computing environment
APNOMS'06 Proceedings of the 9th Asia-Pacific international conference on Network Operations and Management: management of Convergence Networks and Services
Discovery and composition of services for context-aware systems
EuroSSC'06 Proceedings of the First European conference on Smart Sensing and Context
| Hi-index | 0.00 |
In the mobile (M)-Health domain, the Remote Patient Monitoring System (RPMS) facilitates continuous collection, transmission and viewing of the patient vital signs data. Furthermore, in case of an emergency it provides context-aware Emergency Response Services (ERSs) such as the doctor, paramedic, ambulance and hospital to the patient. In the existing RPMS, the components responsible for the discovery and selection of ERSs are centralized; and the ERS are selected and invoked reactively; i.e. on the occurrence of an emergency. However, in the distributed RPMS, such reactive approach could take a significant amount of time. If ERSs could be discovered and selected proactively before an emergency occurs, it could save valuable time in dealing with the patient emergency. However, such proactive approach requires more resources as compared to the reactive approach. Herein we present a logical architecture for the distributed RPMS, investigate the issues involved in the proactive context-aware ERSs selection and the simulation methodology to analyze resource utilization and emergency response time tradeoff of the proactive vs. reactive approaches.