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Abstract. Healthcare is an important part of life. Sadly, the spread of Covid-19 has strained the majority of health systems and the demand for resources from hospital kits to doctors and nurses have become extremely high. However, the significant advancement in the computing sector have led to the emergence of Internet of Things (IoT) which has now become one of the most powerful information and communication technologies due to its capability to connects object such as medical kits, monitoring cameras, home appliances and so on… Capitalizing on the efficiency of data retrieval from smart objects in the health sector, it is clear that a solution is necessary and required to improve the health sector in the era of Covid-19 pandemic while continuing to provide a high-quality care to patients. In this paper, a real-time covid-19 monitoring system is introduced in a form of an IoT based bracelet that measures body temperature and blood oxygen level, which are essential factors for determining the patient’s condition and whether he needs a quick intervention to enter ICU room. The bracelet also has a GPS tracker to determine the patient’s commitment to quarantine and social distancing. Based on the study conducted with more than 50 medical stuff, the IoT based bracelet was identified as a promising tool that can help control the spread of the covid-19 virus, by providing a modern access to medical healthcare services anywhere and anytime which is useful for the patient and hospital management stuff.

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In this paper, we contribute to the enhancement of routing in unstructured Peer-to-Peer (P2P) systems. Our contribution aims to propose an alternative to the repetitive interactions between peers in discovery which waste considerable time. We propose a methodology that seeks effectiveness and swiftness. Contrary to classic and heuristic-based routing strategies, the main goal of our proposition is that every peer prepares a database at the integration phase. The database includes information about peers, locations, routes to every destination, etc. Every peer possesses its own database and is able to update it whenever a change occurs in the system. Changes refer to the integration of new peers and the dissociation of existing ones. Theoretically, the communication between peers will become significantly quicker since every peer knows enough information about the other peers forming the system. The application of our strategy demonstrates its fitness to the proposed system model in addition to its celerity and relevance.

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The big challenge to raise for deploying the application's domain of the Internet of Things is security. As one of the popular messaging protocols in the IoT world, the message queue telemetry transport (MQTT) is designed for constrained devices and machine-to-machine communications, based on the publish-subscribe model, it offers a basic authentication using username and password. However, this authentication method might have a problem in terms of security and scalability. In this paper, we provide an analysis of the current research in the literature related to the security for the MQTT protocol, before we give a brief description of each algorithm used on our approach, to finally propose a new approach to secure this protocol based on AugPAKE algorithm and PRESENT encryption. This solution provides mutual authentication between the broker and their clients (publishers and subscribers), the confidentiality of the published message is protected twice, the integrity and non-repudiation of MQTT messages which is protected during the process of transmission.