City Data Fusion: Sensor Data Fusion in the Internet of Things

Internet of Things (IoT) has gained substantial attention recently and play a significant role in smart city application deployments. A number of such smart city applications depend on sensor fusion capabilities in the cloud from diverse data sources. We introduce the concept of IoT and present in detail ten different parameters that govern our sensor data fusion evaluation framework. We then evaluate the current state-of-the art in sensor data fusion against our sensor data fusion framework. Our main goal is to examine and survey different sensor data fusion research efforts based on our evaluation framework. The major open research issues related to sensor data fusion are also presented.Comment: Accepted to be published in International Journal of Distributed Systems and Technologies (IJDST), 201

Improvement of an Interoperable and Adaptable Middleware using IoT Semantic Web Technologies

In today changing world, Internet of Things (IoT) is creating a new world, where people and businesses can make more timely and better informed decisions about what they want or need to do. Over the last years, agriculture industry in few countries has been expended to smart agriculture. Nevertheless, the agricultural industry in Myanmar needs to be modernized with the involvement of IoT technologies for crops’ growth monitoring, irrigation decision and harvesting system. However, due to the complexity of IoT middleware, most of the middleware frameworks are designed to be used by IT experts. To allow non-IT experts (e.g. farmers, plant scientist) to configure the sensor devices easier and faster, without knowing the background knowledge of technical details, sensor-level configuration of heterogeneous devices needs to be fully interoperable (network, syntactic, and semantic interoperability) due to the huge number of sensor devices integrated and their diversity in term of data formats, communication protocols, nature of components etc. In this work, we propose a fully interoperable middleware framework that incorporates semantic web technologies with the existing Global Sensor Network middleware to solve the above challenges. The proposed system supports horizontally semantic interoperability which addresses the challenge of adaptability of our approach to different domains. Performance of the proposed system will be implemented and evaluated mainly in crops’ growth of agriculture area of Myanmar

State of Internet of Things (IoT) Security Attacks, Vulnerabilities and Solutions

Internet of things (IoT) security is the technology area concerned with safeguarding networks and connected devices in the internet of things (IoT). IoT involves adding internet connectivity to a system of mechanical and digital machines, interrelated computing devices, animals, people and/or objects. Each "thing" is provided a unique identifier and the ability to automatically transfer data over a network. Allowing devices to connect to the internet opens them up to a number of serious vulnerabilities if they are not properly protected. In this paper, we discuss the different attacks and vulnerabilities which is classified by layer in the architechture. We also proposed solutions to mitigate and counter these attacks and vulnerabilities

An IoT Framework for Addressing Parents Concerns about Safety of School Going Children

In this paper, we have proposed a novel application using Internet of things (IOT). This application is focused to address the concerns of the parents towards their school going kids. Mainly the concerns of the parents are to ensure the safety of their kids in school bus as well as at school premises. In this paper, we have tried to provide detailed technical implementation about how different sensing, communication technologies clubbing together provides a platform in terms of IoT, where proposed application can be implemented to ensure safety of school going children as it is the priority and concern for parents. In Proposed application, parents get notification when his child boards the bus for school and gets down the bus at home’s doorstep. Parents also get notification when child enters his Class Room first time in a day. Parents any time can access the location his child or school bus in which his child is travelling. In case of emergency, child can disseminate the signal to parents / Single point of contact (SPOC) at school to make them aware about emergency

Federated Embedded Systems – a review of the literature in related fields

This report is concerned with the vision of smart interconnected objects, a vision that has attracted much attention lately. In this paper, embedded, interconnected, open, and heterogeneous control systems are in focus, formally referred to as Federated Embedded Systems. To place FES into a context, a review of some related research directions is presented. This review includes such concepts as systems of systems, cyber-physical systems, ubiquitous computing, internet of things, and multi-agent systems. Interestingly, the reviewed fields seem to overlap with each other in an increasing number of ways

Towards adaptive control in smart homes: Overall system design and initial evaluation of activity recognition

This paper proposes an approach for adaptive control over devices within a smart home, by learning user behavior and preferences over time. The proposed solution leverages three components: activity recognition for realising the state of a user, ontologies for finding relevant devices within a smart home, and machine learning for decision making. In this paper, the focus is on the first component. Existing algorithms for activity recognition are systematically evaluated on a real-world dataset. A thorough analysis of the algorithms’ accuracy is presented, with focus on the structure of the selected dataset. Finally, further study of the dataset is carried out, aiming at reasoning factors that influence the activity recognition performance