IoT-based Smart Home Research Articles

A Novel Secure IoT-Based Smart Home Automation System Using a Wireless Sensor Network.

Wireless sensor networks (WSNs) provide noteworthy benefits over traditional approaches for several applications, including smart homes, healthcare, environmental monitoring, and homeland security. WSNs are integrated with the Internet Protocol (IP) to develop the Internet of Things (IoT) for connecting everyday life objects to the internet. Hence, major challenges of WSNs include: (i) how to efficiently utilize small size and low-power nodes to implement security during data transmission among several sensor nodes; (ii) how to resolve security issues associated with the harsh and complex environmental conditions during data transmission over a long coverage range. In this study, a secure IoT-based smart home automation system was developed. To facilitate energy-efficient data encryption, a method namely Triangle Based Security Algorithm (TBSA) based on efficient key generation mechanism was proposed. The proposed TBSA in integration of the low power Wi-Fi were included in WSNs with the Internet to develop a novel IoT-based smart home which could provide secure data transmission among several associated sensor nodes in the network over a long converge range. The developed IoT based system has outstanding performance by fulfilling all the necessary security requirements. The experimental results showed that the proposed TBSA algorithm consumed less energy in comparison with some existing methods.

Depression Index Service Using Knowledge Based Crowdsourcing in Smart Health

The development of the IT convergence technology has been serving as the basis for the application of the IoT devices to the products being used in our everyday life, such as clock, health band, scale, TV, light and doorlock. The government and companies have been developing the IoT-based smart home, smart city and smart health to enhance the national health as well as the life convenience. In particular, the government has been providing its diverse supports to the smart health in order to utilize electronic medical records, personal health record and self-diagnosis. The Ministry of Health and Welfare has been expanding the self-diagnosis service through conducting an epidemiologic survey on mental illness and mental health, the two issues that are becoming a major problem in our society. The results of the survey-based self-diagnosis may vary depending on the environment surrounding the users as well as the mental state of the users. In this paper, we propose the depression index service using the knowledge-based crowdsourcing within the smart health platform. The proposed method provides the index suitable for the context of each user through using the knowledge-based crowdsourcing within the smart health platform to compare the actual users with the similar users and predict the depression level. The prediction of the depression index uses the collaborative filtering model based on the comparison of users with other users, and uses the crowdsourcing to supplement the sparsity problem. CES-D is used as the criterion for determining the depression level, and the CES-D data is collected through the crowdsourcing. In the preexisting crowdsourcing process, the highly expert/reliable knowledge base to which the context information of the users is applied is constructed. The context information of the users is additionally collected through the self-diagnosis process, and the data are determined through the preconditioning process. The actual users data and determined data are applied to the Pearson's correlation coefficient to analyze the similarity level of between the actual/preexisting users. Then the analyzed similarity is used to service the result of the self-diagnosis to the actual users. This is a flexible service to which the context information of the users is applied, and it contributes to the users' decision-making.

Multi-layer cloud architectural model and ontology-based security service framework for IoT-based smart homes

The Smart Home concept, associated with the pervasiveness of network coverage and embedded computing technologies is assuming an ever-growing significance for people living in the highly developed areas. However, the heterogeneity of devices, services, communication protocols, standards and data formats involved in most of the available solutions developed by different vendors, is adversely affecting its widespread application. In this paper, promoted by several promising opportunities provided by the advances in Internet of Things (IoT) and Cloud Computing technologies for facing these challenges, a novel multi-layer cloud architectural model is developed to enable effective and seamless interactions/interoperations on heterogeneous devices/services provided by different vendors in IoT-based smart home. In addition, to better solve the heterogeneity issues in the presented layered cloud platform, ontology has been used as a promising way to address data representation, knowledge, and application heterogeneity, and an ontology-based security service framework is designed for supporting security and privacy preservation in the process of interactions/interoperations. Challenges and directions for future work on smart home management have been also discussed at the end of this paper.

Point-n-Press: An Intelligent Universal Remote Control System for Home Appliances

With numerous connected devices and appliances, the smart home is one of the representative fields of Internet of Things (IoT). As the complexity of devices/appliances increase, numerous buttons (sometimes dozens) are designed on the remote controller in home spaces even if several of them are seldom used. A user may be confused with the controller even if he or she only intends to perform a simple operation. This confusion also leads to a higher probability of mal-operations. In addition, conventional methods of communication between remote controllers and connected devices, such as eXtensible Markup Language (XML) messages, are usually bandwidth-consumptive. To address these problems, an intelligent universal remote control system for home appliances named Point-n-Press is proposed. Point-n-Press addresses the directionality feature, which enables easy and intuitive control by pointing to the target device to display the target's control interface on the screen of the remote controller. By leveraging the state dependencies of home device/appliance operations, only functional buttons that are relevant to the current context are utilized. Two real prototypes are implemented to verify the feasibility of the proposed scheme. The evaluation results show that Point-n-Press is a useful and suitable control scheme for IoT-based smart homes.

A Review on IOT Based Smart Home Automation Using Renewable Energy Sources

A Review on IOT Based Smart Home Automation Using Renewable Energy Sources

A Middleware of IoT-Based Smart Home Based on Service

This paper presents a Middleware of IoT-based smart home, which based on SOA (Service Oriented Architecture) and overcome the problems of sharing family service information and integrating heterogeneous systems. The middleware tries to form a system framework, which is workable, easily integrated, SOA-based loose coupling and conformed to the standard of family service information exchange. In this framework, the middleware, who plays the role of family service bus, becomes communication component of family service that based on SOA infrastructure, supports services, messaging, and web-based services interaction in heterogeneous environment, finds and discovers required web services through service registration and repository. Each business application distributes loosely coupled based on SOA integration framework, exchanges data and driven events via smart home middleware, provides more good flexibility and faster response for changes of business needs.