A role-based software architecture to support mobile service computing in IoT scenarios

The interaction among components of an IoT-based system usually requires using low latency or real time for message delivery, depending on the application needs and the quality of the communication links among the components. Moreover, in some cases, this interaction should consider the use of communication links with poor or uncertain Quality of Service (QoS). Research efforts in communication support for IoT scenarios have overlooked the challenge of providing real-time interaction support in unstable links, making these systems use dedicated networks that are expensive and usually limited in terms of physical coverage and robustness. This paper presents an alternative to address such a communication challenge, through the use of a model that allows soft real-time interaction among components of an IoT-based system. The behavior of the proposed model was validated using state machine theory, opening an opportunity to explore a whole new branch of smart distributed solutions and to extend the state-of-the-art and the-state-of-the-practice in this particular IoT study scenario.Peer ReviewedPostprint (published version

A trust model mechanism based on quality of service to reduce energy consumption in the internet of things network

The Internet of Things (IoT) is a network of connected devices that have emerged as a promising technology to handle small network-based devices. In recent years, adoption of this relatively new technology has grown immensely. The energy consumption for IoT devices is regarded as one of the most critical factors affecting IoT networks’ lifespan. Quality of Service (QoS) is considered one of the leading research concerns in IoT networks. Communication between IoT devices needs a suitable and reliable service model to meet the requirements of IoT applications to handle the levels of QoS and maximize network lifespans. Therefore, this study aims to propose a trust model mechanism to provide different levels of QoS (QoST-IoT) and maximize IoT network lifespans. The QoS trust model includes four main steps. The first step is trust level calculation, which is calculated for each of the IoT nodes to find the trust level. Then, in the second step, query trust, the IoT node sends the trust values of various components to the cluster head (CH). The third step involves the clustering of the IoT nodes. Subsequently, the fourth step deals with the trust level update. The experiments conducted in this study revealed that the proposed QoS trust model mechanism (QoST-IoT) reduced the energy consumption compared to the trust model mechanisms previously proposed in the literature. The results of the first simulation round showed that the QoST-IoT outperformed the security & trusted devices in the context of IoT (STD-IoT) by 41.2%, trust-based adaptive security in IoT (TAS-IoT) by 43.7%, and the context-aware and multiservice approach in IoT (Context-IoT) by 45.2%. In addition, the second simulation round showed that the QoST-IoT consumed less energy than STD-IoT by 47.5%, TAS-IoT by 50.5%, and Context-IoT by 53.8%. The findings of this study extend the understanding of designing a QoS trust model with energy consumption reduction for IoT networks, which could be beneficial for researchers, IoT developers, and policymakers

Modelling of Internet of Things (IoT) for Healthcare

Purpose: Information technology benefits the world, and it’s required for health care system, such as electronic medical records (EMR). We have proposed systematic model to study hoe IoT with 5g network has potential to benefit various healthcare services. For example, telemedicine may have some usage restrictions in rural areas and physicians may find it difficult to provide continuous monitoring to patients from such area. There are higher chances that the calls or video conferences getting significantly affected by poor networks and signals as well as non-compatible devices and patient may not get the treatment on time. 5G networking with IoT devices are believed to be the game changer for communication technology. The IoT model assists in attaining information by measuring its benefits through criteria which include 5G and IoT features along with a healthcare service requirement. Purpose of this paper is to present a model using Internet of Things (IoT) and 5G technology which will help to understand improved efficiency and efficacy of healthcare services. Our main research methodologies are literature review and modeling. The obtained results can be used for information technology applications in healthcare for various healthcare services and assist in increasing health quality in the healthcare industry.Method: Created a model to set the standard for incorporating 5G IoT devices health related technology and services. Reviewed through several models that serve as potential model to involve key factors that are unique certain healthcare services. We picked one model that can be easily incorporated in the system and can be revised to fit within the requirements using 5G IoT devices. Gathering of related literature served as a foundation in understanding the benefits of 5G IoT in the healthcare systems and parameters were pooled from it to revise the IoT model. Results: Incorporating 5G IoT features into a chosen model gave an overview of various determinants that can help understanding how IoT can influence any healthcare service and improve the quality of health. There are no rules and restrictions for use and utilization of this technology for health management yet in developing stage however, healthcare systems can rely on the 5G IoT devices for quality betterment. Conclusion: IoT with 5G has potential to improve healthcare management. The 5G world with an IoT will allow us to enter an era where real-time health services will become the part of the daily routine rather than the exception. However, further research needs to be done about its usage within any kind of specific health technology. Future research directions can utilize our model for other lesser known healthcare services

A people-oriented paradigm for smart cities

Most works in the literature agree on considering the Internet of Things (IoT) as the base technology to collect information related to smart cities. This information is usually offered as open data for its analysis, and to elaborate statistics or provide services which improve the management of the city, making it more efficient and more comfortable to live in. However, it is not possible to actually improve the quality of life of smart cities’ inhabitants if there is no direct information about them and their experiences. To address this problem, we propose using a social and mobile computation model, called the Internet of People (IoP) which empowers smartphones to recollect information about their users, analyze it to obtain knowledge about their habits, and provide this knowledge as a service creating a collaborative information network. Combining IoT and IoP, we allow the smart city to dynamically adapt its services to the needs of its citizens, promoting their welfare as the main objective of the city.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech