RETRACTED CHAPTER: Context-Aware Location Recommendations for Smart Cities

2019 ◽  
pp. 105-114
Author(s):  
Akanksha Pal ◽  
Abhishek Singh Rathore
Keyword(s):  
Smart Cities ◽  
Context Aware

scholarly journals A Long-range Context-aware Platform Design For Rural Monitoring With IoT In Precision Agriculture

2020 ◽  
Vol 15 (2) ◽  
Author(s):  
Deniz TAŞKIN ◽  
Selçuk YAZAR
Keyword(s):  
Long Range ◽  
Precision Agriculture ◽  
Rural Areas ◽  
Smart Cities ◽  
Soil Surface ◽  
Area Network ◽  
Context Aware ◽  
Wide Area Network ◽  
Performance Measurements ◽  
Iot Applications

The Internet of Things (IoT) applications has been developing greatly in recent years to solve communication problems, especially in rural areas. Within the IoT, the context-awareness paradigm, especially in precision agricultural practices, has come to a state of the planning of production time. As smart cities approach, the smart environment approach also increases its place in IoT applications and has dominated research in recent years in literature. In this study, soil and environmental information were collected in 17 km diameter in rural area with developed Long Range (LoRa) based context-aware platform. With the developed sensor and actuator control unit, soil moisture at 5 cm and 30 cm depth and soil surface temperature information were collected and the communication performance was investigated. During the study, the performance measurements of the developed Serial Peripheral Interface (SPI) enabled Long Range Wide Area Network (LoRaWAN) gateway were also performed.

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.

Artificial intelligence-enabled context-aware air quality prediction for smart cities

2020 ◽  
Vol 271 ◽  
pp. 121941 ◽  
Author(s):  
Daniel Schürholz ◽  
Sylvain Kubler ◽  
Arkady Zaslavsky
Keyword(s):  
Artificial Intelligence ◽  
Air Quality ◽  
Smart Cities ◽  
Quality Prediction ◽  
Context Aware ◽  
Air Quality Prediction

scholarly journals AN ANALYSIS OF CONTEXT-AWARE DATA MODELS FOR SMART CITIES: TOWARDS FIWARE AND ETSI CIM EMERGING DATA MODEL

2017 ◽  
Vol XLII-4/W3 ◽  
pp. 43-50 ◽  
Author(s):  
A. J. Jara ◽  
Y. Bocchi ◽  
D. Fernandez ◽  
G. Molina ◽  
A. Gomez
Keyword(s):  
Information Management ◽  
Data Model ◽  
Multiple Solutions ◽  
Smart Cities ◽  
General Purpose ◽  
Data Models ◽  
Context Information ◽  
Context Aware ◽  
Cross Domain ◽  
Crowd Monitoring

Smart Cities requires the support of context-aware and enriched semantic descriptions to support a scalable and cross-domain development of smart applications. For example, nowadays general purpose sensors such as crowd monitoring (counting people in an area), environmental information (pollution, air quality, temperature, humidity, noise) etc. can be used in multiple solutions with different objectives. For that reason, a data model that offers advanced capabilities for the description of context is required. This paper presents an overview of the available technologies for this purpose and how it is being addressed by the Open and Agile Smart Cities principles and FIWARE platform through the data models defined by the ETSI ISG Context Information Management (ETSI CIM).

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