This paper has proposed an integrated healthcare monitoring solution for the soldiers deployed in adverse environmental conditions, using the internet of things (IoT) with distributed computing. For these soldiers, the health parameters of every individual need to be monitored on a real-time basis and subsequent analysis of the dataset to be made for initiating appropriate medical support with the lowest possible delay. In this paper, a three-layer service-oriented IoT architecture has been proposed where the computational functionalities are distributed among all the layers. The proposed distributed computing mechanism has implemented two levels of filtration of redundant information that belongs to safe soldiers. The first level of filtering is done at the end-node using the Fuzzy classification approach and the second level of filtering is done at the intermediate node using the time-series pattern analysis approach. This layer-wise filtration process results in a reduction in data flooding and computational burden on the cloud due to which system response time improves to suit emergency applications. A prototype has been developed to validate the effectiveness of the proposed solution.

本文为部署在不利环境条件下的士兵提供了一种集成的医疗保健监控解决方案，该解决方案使用物联网（IoT）和分布式计算技术。对于这些士兵，需要实时监控每个人的健康参数，并对数据集进行后续分析，以便以最小的延迟启动适当的医疗支持。本文提出了一种三层面向服务的物联网架构，其中计算功能分布在所有层之间。所提出的分布式计算机制已经实现了对属于安全兵的冗余信息的两个级别的过滤。使用模糊分类方法在端节点处完成第一级过滤，使用时间序列模式分析方法在中间节点处完成第二级过滤。这种逐层筛选过程可减少数据泛洪和云计算负担，因为这会缩短系统响应时间以适应紧急情况。已开发出原型以验证所提出解决方案的有效性。