- Title
- Fault-tolerant data aggregation scheme for monitoring of critical events in grid based healthcare sensor networks
- Creator
- Saeed, Ather; Stranieri, Andrew; Dazeley, Richard
- Date
- 2011
- Type
- Text; Conference paper
- Identifier
- http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/65088
- Identifier
- vital:3819
- Abstract
- Wireless sensor devices are used for monitoring patients with serious medical conditions. Communication of content-sensitive and context sensitive datasets is crucial for the survival of patients so that informed decisions can be made. The main limitation of sensor devices is that they work on a fixed threshold to notify the relevant Healthcare Professional (HP) about the seriousness of a patient’s current state. Further, these sensor devices have limited processor, memory capabilities and battery. A new grid-based information monitoring architecture is proposed to address the issues of data loss and timely dissemination of critical information to the relevant HP. The proposed approach provides an opportunity to efficiently aggregate datasets of interest by reducing network overhead and minimizing data latency. To narrow down the problem domain, in-network processing of datasets with Grid monitoring capabilities is proposed for the efficient execution of the computational, resource and data intensive tasks. Interactive wireless sensor networks do not guarantee that data gathered from the heterogeneous sources will always arrive at the sink (base) node, but the proposed aggregation technique will provide a fault tolerant solution to the timely notification of a patient’s critical state. Experimental results received are encouraging and clearly show a reduction in the network latency rate.
- Publisher
- Boston Marriott Long Wharf Hotel, Boston, MA
- Relation
- Paper presented at 19th High Peformance Computing Symposium (HPC 2011) part of SCS Spring Simulation Multiconference (SpringSim'11)
- Rights
- Open Access
- Rights
- This metadata is freely available under a CCO license
- Subject
- Data aggregration; Grid computing; In-network processing; Sensor networks; Fault tolerance
- Full Text
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