On the Grid and Sensor Networks
GRID '03 Proceedings of the 4th International Workshop on Grid Computing
Integrating Wireless Sensor Networks with the Grid
IEEE Internet Computing
Sensor Grid: Integration ofWireless Sensor Networks and the Grid
LCN '05 Proceedings of the The IEEE Conference on Local Computer Networks 30th Anniversary
HealthGear: A Real-time Wearable System for Monitoring and Analyzing Physiological Signals
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
The Evaluation of Nodes of Body Sensor Networks: Wearable Blood Pressure Measuring Devices
BSN '06 Proceedings of the International Workshop on Wearable and Implantable Body Sensor Networks
Editorial: Special Section: P2P and internet computing
Future Generation Computer Systems
Development of a Monitoring System Using Telephones for the Elderly Living Alone
Proceedings of the 2010 conference on New Trends in Software Methodologies, Tools and Techniques: Proceedings of the 9th SoMeT_10
Web based prediction for diabetes treatment
Future Generation Computer Systems
ACS'10 Proceedings of the 10th WSEAS international conference on Applied computer science
A flexible layered control policy for resource allocation in a sensor grid
Journal of Parallel and Distributed Computing
An efficient closed-form solution for joint synchronization and localization using TOA
Future Generation Computer Systems
Agent based sensors resource allocation in sensor grid
Applied Intelligence
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Wireless Sensor Networks (WSNs) are finding an important role in patient monitoring in diverse environments including hospitals for post-operative patients and nursing homes for elderly patients. Sensor networking devices in WSNs are resource constrained since they have limited processing power and communication bandwidth. However, with a large number of such devices being deployed and aggregated over a wide area, WSNs have substantial data acquisition and processing capability. Thus, WSNs are important distributed computing resources that can be shared by different groups of patients in different environments. The emerging domain of WSNs with the grid extends the grid computing paradigm to the sharing of sensor resources in WSNs. In this perspective, by their very demand requirements and their socioeconomic impact, medical applications are certainly the most pertinent domain for using a wireless sensor grid. In this paper, we propose a wireless sensor grid architecture for monitoring the health status of different groups of patients to provide a platform for physicians and researchers to share information with distributed database and computational resources to facilitate analysis, diagnosis, prognosis and drug delivery.