scholarly journals Intelligent Contextual Information Collection in Internet of Things

2016 ◽  
Vol 23 (1) ◽  
pp. 28-39 ◽  
Author(s):  
Christos Anagnostopoulos
Keyword(s):  
Internet Of Things ◽  
Contextual Information ◽  
Information Collection

scholarly journals A Survey of Context-Aware Messaging-Addressing for Sustainable Internet of Things (IoT)

2020 ◽  
Vol 12 (10) ◽  
pp. 4105
Author(s):  
Alaa Omran Almagrabi ◽  
Yasser D. Al-Otaibi
Keyword(s):  
Internet Of Things ◽  
Smart Cities ◽  
Contextual Information ◽  
Spatial Models ◽  
Context Aware ◽  
Engineering Technology ◽  
Smart Transportation ◽  
Context Aware Computing ◽  
Iot Applications ◽  
Smart Healthcare

Nowadays, communication engineering technology is merging with the Internet of Things (IoT), which consists of numerous connected devices (referred to as things) around the world. Many researchers have shown significant growth of sensor deployments for multiple smart engineering technologies, such as smart-healthcare, smart-industries, smart-cities, and smart-transportation, etc. In such intelligent engineering technologies, sensors continuously generate a bunch of messages in the network. To enhance the value of the data in the messages, we must know the actuality of the data embedded inside the messages. For this purpose, the contextual information of the data creates a vital challenge. Recently, context-aware computing has emerged to be fruitful in dealing with sensor information. In the ubiquitous computing domain, location is commonly considered one of the most essential sources of context. However, whenever users or applications are concerned with objects, and their site or spatial relationships, location models or spatial models are necessary to form a model of the environment. This paper investigates the area of context-aware messaging and addressing services in diverse IoT applications. The paper examines the notion of context and the use of context within the data exchanged by the sensors in an IoT application for messaging and addressing purposes. Based on the importance and need for context of the information, we identify three critical categories of new IoT applications for context-aware messaging and addressing services: emergency applications, applications for guiding and reminding, and social networking applications. For this purpose, a representative range of systems is reviewed according to the application type, the technology being used, their architecture, the context information, and the services they provide. This survey assists the work of defining an approach for context-aware messaging services domain by discovering the area of context-aware messaging.

scholarly journals Power Equipment Fault Information Acquisition System Based on Internet of Things

2020 ◽  
Author(s):  
Ruilian Wang ◽  
Minghai Li
Keyword(s):  
Internet Of Things ◽  
Information Acquisition ◽  
Low Voltage ◽  
Collection Efficiency ◽  
Acquisition System ◽  
Information Collection ◽  
The Internet ◽  
Power Equipment ◽  
Fault Information ◽  
The Internet Of Things

Abstract With the advent of the Internet of things era, many of the original power equipment and its fault information acquisition system have the problems of low efficiency, slow and inaccurate fault information collection speed, so the design of intelligent system is very important. The purpose of this study is to design the power equipment fault information acquisition system of the Internet of things, and analyze the collection speed and accuracy of the system. In this study, a power company in our city was taken as the experimental object to collect the fault information reported by the company, and put the new IOT fault information acquisition system into use in another company. After using for one month, the data collected by the power equipment fault information acquisition system of the Internet of things are compared with the original system, and the information collection amount, accuracy and acquisition speed are calculated. The research results show that the company's low-voltage user acquisition success rate has reached more than 99%, and the F1 value of the power equipment information acquisition system of the Internet of things is 96.4%, which is much higher than 86.3% and 75.7% of other systems. With the increase of time, the fault information collection efficiency can approach 99%. It shows that the power equipment information acquisition system of the Internet of things has higher accuracy and speed of information acquisition than the traditional system and other systems, and greatly improves the working efficiency of the system. The conclusion is that the function of this research system is better, the economic loss of the company is reduced, and the management is optimized. It makes contribution to the optimization and intelligent development of power equipment fault information acquisition system.

scholarly journals A Review of Semantic Sensor Technologies in Internet of Things Architectures

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-21 ◽  
Author(s):  
Gergely Marcell Honti ◽  
Janos Abonyi
Keyword(s):  
Internet Of Things ◽  
Essential Role ◽  
Contextual Information ◽  
Data Sources ◽  
Intelligent Sensor ◽  
Semantic Metadata ◽  
Sensory Data ◽  
Intelligent Sensors ◽  
High Level

Intelligent sensors should be seamlessly, securely, and trustworthy interconnected to enable automated high-level smart applications. Semantic metadata can provide contextual information to support the accessibility of these features, making it easier for machines and humans to process the sensory data and achieve interoperability. The unique overview of sensor ontologies according to the semantic needs of the layers of IoT solutions can serve a guideline of engineers and researchers interested in the development of intelligent sensor-based solutions. The explored trends show that ontologies will play an even more essential role in interlinked IoT systems as interoperability and the generation of controlled linkable data sources should be based on semantically enriched sensory data.

scholarly journals IoT Monitory System Based Smart Trash Management

2019 ◽  
Vol 8 (6S2) ◽  
pp. 195-197
Keyword(s):  
Genetic Algorithm ◽  
Internet Of Things ◽  
Smart City ◽  
Cost Effective ◽  
Information Collection ◽  
The Internet ◽  
City Management ◽  
Waste Collection ◽  
Logistics Process ◽  
The Internet Of Things

The Internet of Things (IoT), as the anticipated infrastructure for the planned Smart City idea, offers fresh opportunities for city management. IoT vision presents promising and cost-effective alternatives for huge information collection and analysis that can be implemented in many areas, making them more efficient to operate. In this paper, we discuss one of Smart City's most difficult problems-municipal waste collections. We use our own genetic algorithm application to optimize the waste collection logistics process. The solution submitted offers calculation of more effective paths for garbage trucks. As an output, we provide a set of specified area-focused simulations.

An Adaptive Security Framework for the Internet of Things Applications Based on the Contextual Information

2019 ◽  
pp. 244-267
Author(s):  
Harsuminder Kaur Gill ◽  
Anil Kumar Verma ◽  
Rajinder Sandhu
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Security Policy ◽  
Learning Algorithm ◽  
Contextual Information ◽  
Service Access ◽  
Current Context ◽  
User Demand

With the growth of Internet of Things and user demand for personalized applications, context-aware applications are gaining popularity in current IT cyberspace. Personalized content, which can be a notification, recommendation, etc., are generated based on the contextual information such as location, temperature, and nearby objects. Furthermore, contextual information can also play an important role in security management of user or device in real time. When the context of a user or device changes, the security mechanisms should also be updated in real time for better performance and quality of service. Access to a specific resource may also be dependent upon user's/device's current context. In this chapter, the role of contextual information for IoT application security is discussed and a framework is provided which auto-updates security policy of the device based on its current context. Proposed framework makes use of machine learning algorithm to update the security policies based on the current context of the IoT device(s).

scholarly journals A New Private Information Encryption Method in Internet of Things under Cloud Computing Environment

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Haiyun Ma ◽  
Zhonglin Zhang
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Private Information ◽  
Stream Cipher ◽  
Information Collection ◽  
Acquisition Time ◽  
Computing Environment ◽  
Cloud Computing Environment ◽  
Encryption And Decryption ◽  
Encryption Method

The existence of Internet of Things (IoT) facilitates the collection and transmission of urban data information. However, it can leak users’ personal privacy information in smart cities. Therefore, we propose a new private information encryption method in IoT under cloud computing environment. Under IoT, according to the properties and acquisition time, privacy information can be divided into many subspaces. Then, we analyze the private information encryption with different levels. Based on the stream cipher mechanism, we design an encryption system model of information collection. In the subspace, the privacy information is encrypted and transferred to the relay node. After encrypting, they are segmented and restructured. The long privacy information is divided into smaller slices. Then, they are reintegrated after conversion. Finally, we use stream cipher and dual-key algorithm to complete freedom nondestructive transformation between plaintext and ciphertext to ensure the integrity of the encrypted private information. Experimental results show that the proposed method takes less time in the encryption and decryption process, which has better ciphertext conversion output effect and suffers fewer network attacks in the same encryption time. The message encryption and decryption time is less than that of other methods. In terms of calculation cost, the proposed method decreases by approximately 14%. What is more, it has higher security and improves the security and integrity of the privacy information collection process.

Sign in / Sign up

Export Citation Format

Share Document