A review of smart home applications based on Internet of Things

In this review paper, we have discussed the existing state-of-the-art practices of improved intelligent features, controlling parameters and Internet of things (IoT) infrastructure required for smart building. The main focus is on sensing, controlling the IoT infrastructure which enables the cloud clients to use a virtual sensing infrastructure using communication protocols. The following are some of the intelligent features that usually make building smart such as privacy and security, network architecture, health services, sensors for sensing, safety, and overall management in smart buildings. As we know, the Internet of Things (IoT) describes the ability to connect and control the appliances through the network in smart buildings. The development of sensing technology, control techniques, and IoT infrastructure give rise to a smart building more efficient. Therefore, the new and problematic innovation of smart buildings in the context of IoT is to a great extent and scattered. The conducted review organized in a scientific manner for future research direction which presents the existing challenges, and drawbacks.

Sensing, Controlling, and IoT Infrastructure in Smart Building: A Review

Quality of service approaches in IoT: A systematic mapping

The new and disruptive Internet of Things (IoT)-based technologies being used in smart homes have significantly bounded and dispersed communication components. To examine these technologies and provide researchers with a clear vision toward this area, we must be aware of the utilized approaches and the existing limitations in this line of research. To this end, an extensive search was conducted for articles dealing with (a) smart homes, (b) IoT, and (c) related applications were comprehensively reviewed and a coherent taxonomy for these articles was established. ScienceDirect, IEEE Xplore, and Web of Science databases were checked for articles on IoT-based smart home technologies. The retrieved articles were then filtered based on specified criteria “Communication components aspects”, and 82 articles were eventually selected and classified into four categories. The first category included articles that representing internet devices in a framework or model that follows the requirements of the stage in which any system is developed, the second category included analytical studies that monitor the possible changes in the variables used in a specific case study, the third category included evaluation, comparative studies, and assessing their worth or merit, and the fourth category included reviews and surveys a review and survey of the communication components of IoT-based smart home technologies. The motivation for using IoT-based technologies in smart homes, the issues related to application obstruction, and the development and utilization of smart homes are then examined based on the findings from the literature. With the exception of the 82 articles reviewed earlier, the telecommunication standards and concepts of this research were covering IoT solutions, communication protocols, IoT stack protocol, and quality of service for IoT based smart home technologies.

A survey on communication components for IoT-based technologies in smart homes

Analytic network process: An overview of applications

Due to many people died in mine accident, the mine safety play a key role in mine produce process. By virtual of recent advancements in the Internet of Things, this paper proposes an intelligent monitoring system for coal mines, which aims at monitoring the coal mine produce process. The proposed sense network architecture is completed based on Controller Area Network (CAN) bus and ZigBee technology. The sense nodes work cycle, powered by batteries, is extended by specific work model. Position of miners can be obtained through inquiry routing tables of network nodes. Manage system is designed to provide services for mine managers. The proposed system can monitor the process of mining intelligently and warn miners and managers immediately when dangerous issues emerge, such as gas leaking and water leaking.

Intelligent coal mine monitoring system based on the Internet of Things

The localization of the unknown nodes is essential for many applications in wireless sensor networks (WSN). But the traditional DV-Hop algorithm has not high accuracy of the localization of the nodes. In this paper, we proposed an improved DV-Hop location algorithm based on reduce the accumulation errors of the average hop distance of the unknown nodes in wireless sensor networks. We have made detailed analysis of the DV-Hop algorithm, and have introduced the weighted averaged method for calculate to the average hop distance in the second stages. Then the estimates regional based on two beacon nodes is built, and the centroid of the region is the coordinates of the unknown node. Simulation experiments are conducted to compare the traditional DV-Hop algorithm and improved DV-Hop algorithm. The simulation results show that the proposed algorithm has better localization accuracy based on the same or different number of the sensor nodes and the communication radius.

DV-Hop localization algorithms based on centroid in wireless sensor networks

To improve the efficiency of deploying and calling of home services, this paper proposes a distributed service-oriented architecture D-SOA for a smart-home system. In this proposed D-SOA, a distributed bundle is designed for remote deploying of bundles and remote calling of services with open services gateway initiative OSGi architecture. Peer-to-peer P2P technology is adopted to improve communication efficiency between terminals of a smart-home system. A specific interaction mechanism is designed to transmit data, using the hypertext transfer protocol HTTP and the extensible markup language XML. Performance analysis shows that the proposed D-SOA achieves up to 37.5% reduction in network load, and 65% improvement in response time, compared to service central system architectures.

A distributed and efficient system architecture for smart home

Buildings were responsible for over 30% of total Chinese energy consumption in 2010. With a wild range of cli- mate conditions and a separate air conditioning structure in campus buildings, it is significant but difficult to assess the energy performance of campus buildings in China. This paper proposes a novel mechanism to assess energy performance of campus buildings, using a fuzzy analytic network process (FANP). Six criteria are used as key performance indicators based on climate conditions in China and the air conditioning device deployment structure in campus buildings: 1) building envelope; 2) renewable energy; 3) illumination; 4) thermal comfort; 5) window and door; and 6) occupation status. A simulation is presented to illustrate the effectiveness of the proposed approach, analyzing three different rooms in the International School of Software, at Wuhan University. Assessment results are discussed in terms of optimizing future energy performance of campus buildings.

Assessing Chinese campus building energy performance using fuzzy analytic network approach

With the global food safety problems increasing, food safety problems of egg products get more and more attention of consumers in China. With the development of internet of things IOT, food traceability system can let the consumer participate in the whole process of the supervision of food production. Thus, the consumers can understand information behind the food. The existing egg traceability systems are lack of unified standard, and they are not practical and not popular. The data sources are not intelligent, timeliness and advantages enough. This paper puts forward an egg traceability system based on video capture and wireless networking technology. In this paper, the authors put forward the general structure of the egg traceability and develop the platform based on the sensor network.

Feng Liu

Papers

Intelligent coal mine monitoring system based on the Internet of Things

DV-Hop localization algorithms based on centroid in wireless sensor networks

A distributed and efficient system architecture for smart home

Assessing Chinese campus building energy performance using fuzzy analytic network approach

The egg traceability system based on the video capture and wireless networking technology