Health Systems with Resilient Reporting based on Internet-of-Things

Internet-of-Things for Health (IoTH) is an emerging application of Internet-of-Things which is changing the traditional health system in a profound manner. IoTH environments must detect individual hardware error, malfunctions, or tampering attacks, since these occurrences result in erroneous alarms that undermine the capacity to respond to true positive risk situations. Besides, devices running malfunctions and tampered nodes can lose their capability to forward the network traffic, which can cause loss of communication. For health monitoring, traffic loss can be critical, since it can delay the medical support. To address these problems, this paper proposes Resilient Information for E-health Reporting (RIER), which is designed to provide a set of local decisions before starting to monitor an event in the IoTH environment. It is able to detect true positive events and also classifying them as critical or non-critical. Data is double-communicated via two instances of IPv6 Routing Protocol for Low Power and Lossy Networks (RPL) in order to successfully deliver the notifications of critical events even if some node in the path is compromised. The conducted simulations demonstrate that RIER can achieve more than 90% of notification delivery rate.