scholarly journals Smart-M3-based smart space creation using a DD-WRT-based device

2017 ◽  
Vol 3 (52) ◽  
pp. 180 ◽  
Author(s):  
Sergei Andreevich Mikhailov ◽  
Alexey Mihajlovich Kashevnik
Keyword(s):  
Smart Space

Research on Smart Space Oriented Location Awareness Method

2009 ◽  
Vol 20 (3) ◽  
pp. 671-681
Author(s):  
Liang MING ◽  
Gang ZHAO ◽  
Gui-Hai XIE ◽  
Chun-Lei WANG
Keyword(s):  
Location Awareness ◽  
Smart Space

Development Approaches of Smart Space Service Components for Service Robots

ROBOT ◽  
2012 ◽  
Vol 34 (3) ◽  
pp. 337
Author(s):  
Zhiwei LIANG ◽  
Xin JIN ◽  
Songhao ZHU
Keyword(s):  
Service Robots ◽  
Smart Space ◽  
Service Components

An Alternative Model to Measure Smart Space Implementing Success

2021 ◽  
Author(s):  
Dwi Yuniarto ◽  
Dani Indra Junaedi ◽  
Dody Herdiana ◽  
A'ang Subiyakto
Keyword(s):  
Alternative Model ◽  
Smart Space

Micro Context-Awareness for Autonomic Pervasive Computing

2011 ◽  
Vol 7 (2) ◽  
pp. 48-68 ◽  
Author(s):  
Bessam Abdulrazak ◽  
Patrice Roy ◽  
Charles Gouin-Vallerand ◽  
Yacine Belala ◽  
Sylvain Giroux
Keyword(s):  
Pervasive Computing ◽  
Context Awareness ◽  
Programming Model ◽  
Software Components ◽  
Context Aware ◽  
Smart Space ◽  
Global Knowledge ◽  
System Utilization ◽  
Pervasive System ◽  
Micro Level

Context-aware software provides adapted services to users or other software components. On the other hand, Autonomic Pervasive Computing uses context to reduce the complexity of pervasive system utilization, management and maintenance. This paper describes two context-awareness models, the macro and micro approaches, that define and integrate contextual views of individual pervasive components (micro level) and global knowledge of the system (macro level), and provides a more detailed overview of a micro Context-aware programming model for open smart space problems. These models are presented and compared with respect to their ability to meet the requirements of the Autonomic Pervasive Computing concept of the four selves.

Individual Client Strategies for Active Control of Information-Driven Service Construction in IoT-enabled Smart Spaces

2019 ◽  
Vol 10 (2) ◽  
pp. 20-36 ◽  
Author(s):  
Olga Bogoiavlenskaia ◽  
Andrey Vdovenko ◽  
Dmitry G. Korzun ◽  
Alexey Kashevnik
Keyword(s):  
Active Control ◽  
Performance Metrics ◽  
The Internet ◽  
Service Needs ◽  
Smart Space ◽  
Smart Spaces ◽  
Individual Strategy ◽  
Individual Client ◽  
The Internet Of Things ◽  
Information Broker

Smart spaces provide a platform for cooperative service construction by many devices in the Internet of Things (IoT) environments. When a service is constructed the service needs delivering to appropriate clients, which is typically implemented using the subscription operation (i.e., information-driven service construction). The passive form of subscription is ineffective in the IoT settings since the centralized solution—smart space information broker—needs to control all service construction updates and to notify all interested clients. This article considers the problem of active control for information-driven service construction when each client can use its own (individual) strategy to (additionally) control ongoing updates in the subscribed information. Five strategies for active control are selected for this study. For some simplified assumptions, analytical estimates are provided. For close-to-real evaluation of the strategies a simulation model is developed, based on which several performance metrics are experimentally studied.

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