Global Internet Of Things Research Articles

An Exhaustive Review on Internet of Things from Korea’s Perspective

After the World Wide Web in 1990s and the mobile internet in 2000s, we are gradually moving towards one of the potentially most distinct phase of internet revolution--The "Internet of Things (IoT)". IoT is an emerging concept, based on the convergence of legacy technologies, like RFID, WSN and smart objects, for connecting billions of "things". Such a massive connectivity generates a huge data for analysis, processing, mining and storage . Moreover, the inherent heterogeneity of IoT is also raising significant technical and application challenges. Many countries are innovating and adapting IoT for the development of the country's economy. Korea, being a digitally advanced country, is already ranked second in "suitability of preparedness for IoT opportunities". In this paper, we first mention the vision, capabilities and status of IoT. Next, we discuss the architectural requirements and popular global IoT projects. Subsequently, we review the history, research plans and applications of Korean IoT. Finally, our work concludes with a list of major open issues and challenges faced by the Korean IoT industry with pointers to possible solutions.

A Free Market Economy Model for Resource Management in Wireless Sensor Networks

This paper presents a free market economy model that can be used to facilitate fully distributed autonomous control of resources in massive heterogeneous wireless sensor networks (WSNs). In the future, it is expected that WSNs will exist as part of the global Internet of Things (IoT), and different WSNs can work together in a massive network of heterogeneous WSNs in order to solve common problems. Control of valuable processing, sensing and communication resources, determining which nodes will remain awake during specific time periods in order to provide sensing services, and determining which nodes will forward other nodes’ packets are difficult problems that must be dealt with. It is proposed that just as the free market economy model enables the global human society to function reasonably well when individuals simply attempt to trade money and services in order to maximize their individual profits, and a similar model and mechanism should enable a massive network of heterogeneous WSNs to function well in a fully distributed autonomous manner. The main contributions of this paper are the introduction of the free market economy model for use with WSNs, the formal definition of a maximum profit price problem for multihop packet relaying, and the proposal of a distributed genetic algorithm for the solution of the maximum profit price problem. Simulation results show that the proposed distributed solution produces results that are 70% - 80% similar to a pareto optimal solution for this problem.

Parking Information Interaction of Global Internet of Things Based on the Timer and Elastic Pressure Switch Sensor Combination

Parking information release is large flow, and released information is not timely and accurately. In order to solve these problems the global internet of things of stereoscopic parking system is proposed based on the timer control to the parking information. The system will be use the core technology of internet of things and combination of timer and elastic pressure switch with a pressure sensor, and using their electrical circuit to realize the parking information acquisition, storage, and release with reliable and accurately. Experimental result shows the electrical circuits will be better and accurately obtained the parking information. The car user uses the vehicle terminal to search the target parking lot and to receive the parking information. Future gradually extended to the smart phone and on board navigator system. This system will be to alleviate the urban traffic and improve the utilization efficiency of urban parking lot, for the future of the city and social development to provide better technical support and basis.

An IoT Anomaly Detection Model Based on Artificial Immunity

To resolve the anomaly detection problem in the distributed environment of the Internet of Things (IoT), an artificial immunity-based anomaly detection model for the IoT is proposed in this paper. The proposed model adopts artificial immune mechanisms to recognize anomaly behavior of IoT security threats. It is consisted of Anomaly detection agents (ADA) and Central Service System (CSS). ADA is deployed by the IoT gateway. It collects the initial data of the sense layer of the IoT. It works independently and produces excellent detection elements. It shares its excellent detection elements with the other ones and uploads them to the CSS. Theory analysis shows that the proposed model is able to adapt the local network environment of IoT and improve the anomaly detection ability in the global IoT environment.

Future Internet of Things Architecture: Like Mankind Neural System or Social Organization Framework?

Internet of things (IoT) is fascinating; its future architecture is still under construction. Based on the analysis on the basic and essential characters of IoT, this paper deals with Future IoT architecture in two aspects: Unit IoT and Ubiquitous IoT. Focusing on a special application, the architecture of the Unit IoT is built from man like neural network (MLN) model and its modified model. Ubiquitous IoT refers to the global IoT or the integration of multiple Unit IoTs with ubiquitous characters, and its architecture employs social organization framework (SOF) model. The models for Future IoT are not only helpful to interpret the relationship between IoT and reality world, but also beneficial to the implementation of IoT in its current development milieu.