Search Results

In Recent Years, Healthcare IoT Have Been Helpful In Mitigating Pressures Of Hospital And Medical Resources Caused By Aging Population To A Large Extent. As A Safety-critical System, The Rapid Response From The Health Care System Is Extremely Important. To Fulfill The Low Latency Requirement, Fog Computing Is A Competitive Solution By Deploying Healthcare IoT Devices On The Edge Of Clouds. However, These Fog Devices Generate Huge Amount Of Sensor Data. Designing A Specific Framework For Fog Devices To Ensure Reliable Data Transmission And Rapid Data Processing Becomes A Topic Of Utmost Significance. In This Paper, A Reduced Variable Neighborhood Search (RVNS)-based SEnsor Data Processing Framework (REDPF) Is Proposed To Enhance Reliability Of Data Transmission And Processing Speed. Functionalities Of REDPF Include Fault-tolerant Data Transmission, Self-adaptive Filtering And Data-load-reduction Processing. Specifically, A Reliable Transmission Mechanism, Managed By A Self-adaptive Filter, Will Recollect Lost Or Inaccurate Data Automatically. Then, A New Scheme Is Designed To Evaluate The Health Status Of The Elderly People. Through Extensive Simulations, We Show That Our Proposed Scheme Improves Network Reliability, And Provides A Faster Processing Speed.