Publication

Abstract : Wireless sensor networks play an important role in various applications including health care monitoring of patients. In health care monitoring various health conditions of patients are monitored by using bio medical sensor including the field of Ophthalmology for monitoring oculomotor behavior, cognitive visual function and vision deficiencies in diverse environments for various post surgical treatment. The Bio sensors deployed in this environment are resource constraint in nature with limited processing and communication power. The work have proposed Sensor Grid architecture called sensor grid based vision status monitoring in eye care system for monitoring the vision status of different groups of eye patients to provide a platform for ophthalmologists to share computational resources to facilitate quantifiable eye-movement analysis, diagnose and treat abnormalities or ocular disease in clinical situations to reduce the dormant propagation of eye diseases. The paper proposes a novel unique simulated model integrating ophthalmological sensors (bio sensors) with the grid to process and store the collected ophthalmology data to achieve better vision prediction rate in ophthalmological field with low latency, increased throughput and proper load balancing across the sensor grid.