Context Aware Services: A Novel Trend in IoT Based Research in Smart City Project

Fujiwara, Yashuchika; Yamada, Keiji; Tabata, Kenichi; Oda, Michio; Hashimoto, Kazuo; Suganuma, Takuo; Rahim, Abdur; Vlacheas, Panagiotis; Stavroulaki, Vera; Kelaidonis, Dimitrios; Γεωργακόπουλος, Ανδρέας

doi:10.1109/compsac.2015.319

Cited by 4 publications

(2 citation statements)

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“…In this way, they say that Cognitive Cities are a more appropriate concept. In [20], Fujiwara describes an example of a smart city, where the social public infrastructure is managed efficiently, using ICTs. Additionally, it shows trends in smart cities [21].…”

Section: Related Workmentioning

confidence: 99%

Performance analysis of the ubiquitous and emergent properties of an autonomic reflective middleware for smart cities

et al. 2020

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One of the biggest challenges in a Smart City is how to describe and dispose of the enormous and multiple sources of information, and how to share and merge it into a single infrastructure, in a timely and correct manner. A Smart City requires computational platforms, which allow the interconnection of multiple and embedded systems, such that the technology is integrated with people, and can respond to unpredictable situations. The integration of information and communications technology in these spaces, allows exploiting the wealth of information and knowledge generated in a Smart City, and improving its planning and services offered to its citizens. In this way, the people are immersed in these spaces, which are aware of their presence (contextsensitive) and adapt to their needs. The context analysis in a smart city allows making available services and information, to support ubiquitously the activities of the individuals. This study aims to analyze the emerging and ubiquitous capabilities of an Autonomic Reflective Middleware. The Middleware is based on intelligent agents that can be adapted to the existing dynamism in a city for, ubiquitously, responding to the requirements of citizens. It uses emerging ontologies that allow, not only the adaptation to the context of the moment and in real-time but also responds to unforeseen situations.

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Section: Related Workmentioning

confidence: 99%

Performance analysis of the ubiquitous and emergent properties of an autonomic reflective middleware for smart cities

et al. 2020

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“…Research on platform, network, security, and smart home on which IoT is based are being conducted. The existing collaborative system is a centralized system and OpenWrt is built on the router and web server such as APMsetup or IIS is constructed and utilized [4][5][6][7]. However, if there are more clients connecting to the router server or the number of requests from clients increases, data loss and bottlenecks may occur, resulting in longer response time or interruption of operations.…”

Section: Introductionmentioning

confidence: 99%

Web Server-based Distributed Machine Socialization System

Kim¹,

Kim²,

Lee³

et al. 2018

IJECE

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<p>In recent years, there has been an increasing trend of offering services that are useful to users, such as Google's Nest, through machine socialization between parts and devices in specific spaces such as automobiles, homes, and factories. The existing inter - device collaboration system is a centralized system using router, and it controls collaboration between devices by building OpenWrt and web server on router. However, due to the limited hardware resources on the router, it generates network traffic congestion as the number of requests from the client increases or the number of clients connected to the server increases. In this paper, we propose a distributed machine collaboration system based on web server using inter - device collaboration algorithm. The study of Micro Controller Unit (MCU) has reduced the traffic incidence by solving the request sent to the router from each device by oneself.</p>

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