ABSTRACT
The detection of traces of patients with novel coronavirus pneumonia (COVID-19) is a prerequisite for avoiding the rapid spread of the virus. However, too much patient privacy data uploaded to the cloud centre will overwhelm the network and cause user information security to not be guaranteed. In this paper, we propose a personal prediction method for COVID-19 infections by perceiving the information of worn biosensors and monitoring equipment in a body area network (BAN). Edge computing and blockchain technology are introduced to solve the problems of user privacy protection and perceptual data transmission and storage. We first construct an edge body area network (EBAN) and characterize the maximization function of the edge blockchain cost by considering the constraints on the bandwidth, storage space, and energy consumption. Then we build a blockchain without redundant perception information and select effective transmission paths by using the edge blockchain construction efficiency maximization (EBCEM) algorithm. Finally, we use the network simulator (NS-2) to simulate the performance of the EBCEM algorithm and compare it with the excellent assignment game algorithm (AGA) in terms of the effective requester ratio (ERR), effective provider ratio (EPR), edge blockchain construction success ratio (EBCSR), and average storage usage ratio (ASUR) in the EBAN. Author
ABSTRACT
The entire world seems shaken and disrupted since the strike of Covid-19 ever since its outbreak towards the end of 2019 and its continued perils. During this unprecedented event of the century, people's health emerged as the most vulnerable and affected area either directly or indirectly by the coronavirus and its new variants. Disrupting almost all spheres of life, patients' health and care systems required timely support from healthcare professionals to provide the needed medical advice on one hand and a prescriptive mechanism to avoid another impending casualty. Similarly, a proactive approach became desirable from the health ministry, pharmaceutical firms, medical insurance companies, and other stakeholders in fine-tuning their offerings to the patients as per the recommender systems. The devices to measure the vitals of a person, became more efficient and ergonomically sound with the advent of wearable gadgets. These devices monitored the physical activities of the user and transferred the vital signals wirelessly to any base computing device and cloud-based repositories. This mechanism, however, was reported to fail in addressing the issues with non-communicating or stand-alone devices that were used by the masses in developing countries including India. If the real-time data could be used from these devices, the healthcare diagnosis and analysis of a patient's medical condition could have taken a progressive dimension with the addition of missing data points. This research thus aims to fill the information gap and proposes a transforming approach towards existing non-communicating devices used to measure the vitals like blood pressure, oxygen level, blood sugar, etc. The proposed MIST-based Cyber-Physical System shall create extensive scalability towards the retrieval of the vital details from the devices which were otherwise captured offline previously and were unused at multiple critical points of healthcare processes. © 2022 IEEE.
ABSTRACT
Body Area Networks have experienced a great evolution this period because of the health crisis of covid 19. This type of network makes it possible to provide a remote medical monitoring in real time, which meets the requirements and challenges of this critical period. In Wireless Body Area Networks (WBANs), the sensors always move together and perform the Handover simultaneously. For example, a patient may travel around the hospital for inspections or surgeries. Therefore, how to reach Handover with the least amount of delay is an important challenge. Handling of this critical and important data requires speed and efficiency of treatment especially in case when a patient is ill and in need of medical intervention. Therefore, a mobility management system ensuring efficient handover and reducing delays is highly required in these circumstances. In this work, we propose a new architecture for BAN based on the Locator Id Split Protocol (LISP) coupled with the NEtwork MObility (NEMO) protocol. © 2021 ACM.