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

ROBOT ◽  
2012 ◽  
Vol 34 (3) ◽  
pp. 337
Author(s):  
Zhiwei LIANG ◽  
Xin JIN ◽  
Songhao ZHU

2021 ◽  
Author(s):  
Dwi Yuniarto ◽  
Dani Indra Junaedi ◽  
Dody Herdiana ◽  
A'ang Subiyakto

Author(s):  
Bessam Abdulrazak ◽  
Patrice Roy ◽  
Charles Gouin-Vallerand ◽  
Yacine Belala ◽  
Sylvain Giroux

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.


2019 ◽  
Vol 10 (2) ◽  
pp. 20-36 ◽  
Author(s):  
Olga Bogoiavlenskaia ◽  
Andrey Vdovenko ◽  
Dmitry G. Korzun ◽  
Alexey Kashevnik

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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