Crop Production Context-Aware Enterprise Application Using IoT

Autor: Haeng-Kon Kim, Chandra Sukanya Nandyala
Rok vydání: 2016
Předmět:
Zdroj: International Journal of Software Engineering and Its Applications. 10:189-200
ISSN: 1738-9984
DOI: 10.14257/ijseia.2016.10.4.17
Popis: From last decade, the enormous increase of sensor deployments has became as well known fact and hot topic among researchers. These sensors are continuously creating large sum of data but to add value to that huge amount raw sensor data, we need to understand it first. Context-aware computing has proven to be effective in understanding sensor data. Context-aware systems bid totally new chance for application developers and also users by assembling context data and systems behavior consequently. In this paper, we presented proposed architecture of crop production context-ware framework using IoT based on context awareness workflow, IoT sensor networks, middleware, data semantics, enterprise lifecycle approach (ELA) and cloud computing along with the advantages of each integrated technology and how they helped in enhancement of the presented architecture.. This paper discuss works and background study of context aware system and IoT based basics that help this paper study which ease the development of context-aware applications. We also discuss various feature, types, categories and important aspects in context-aware system related to IoT. This paper final goal is to study basics that helps to understand the concept of context aware system, architectural requirements while proposing an architecture and also for an efficient future work. Keyword: IoT(Internet of Things), Sensors, Context, Context-Aware, Enterprise Applications
Databáze: OpenAIRE