Discovery, monitoring and management in smart spaces composed of low capacity nodes

Özçelebi, Tanır; Lukkien, Johan J.; Bosman, Remi; Uzun, Onder

doi:10.1109/tce.2010.5505972

Cited by 14 publications

(4 citation statements)

References 14 publications

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“…With the development of context-awareness technology, various spaces, such as the home or the office, are becoming smart spaces [1][2][3]. In smart spaces, for example, various sensors gather the environmental and situational context, and smart systems recognize the user's situations or preferences, and various service providers then serve personalized services to users.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Vehicle Social Enabler Based on Social Internet of Things

Shin¹,

Byun

2016

Mobile Information Systems

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In recent years, the combination of novel context-aware systems with the Internet of Things (IoT) has received great attention with the advances in network and context-awareness technologies. Various context-aware consumer electronics based on IoT for intelligent and personalized user-centric services have been introduced. However, although the paradigm of the IoT has evolved from smart objects into social objects, the existing context-aware systems have not reflected the changes in these paradigms well. Therefore, this paper proposes a social enabler (S-Enabler) in order to overcome this limitation. The S-Enabler plays an important role in converting the existing objects into social objects. This paper presents the middleware architecture and cooperation processes for a social IoT-based smart system. In this paper, the S-Enabler is designed to be applied to a vehicle and an energy saving service is introduced by using the S-Enabler. The proposed energy saving service can reduce energy consumption and fuel consumption based on social behaviors such as sharing or competition. The performance of the S-Enabler is discussed through a simple vehicle service scenario. The experimental results show that the S-Enabler reduced fuel consumption by up to 31.7%.

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Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Vehicle Social Enabler Based on Social Internet of Things

Shin¹,

Byun

2016

Mobile Information Systems

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“…Although [26] presents a lightweight solution for smart spaces composed of low capacity nodes using ZigBee, a similar solution can be implemented for a road lighting system in order to provide interactivity and deal with the connectivity problems. The proposed open service architecture for sensors (OSAS) enables automatic discovery of components and monitoring services and resources at run-time.…”

Section: B System Architecture and Networking Technologymentioning

confidence: 99%

Exploring user-centered intelligent road lighting design: a road map and future research directions

Atici

Özçelebi

Lukkien

2011

IEEE Trans. Consumer Electron.

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“…Semantic interoperability across multiple architectures is realized using the Smart-M3 (multi-vendor, multi-device, multi-domain) platform [12], which is a solution for information interoperability. On the other hand, the connection to lower capacity sensor and actuator nodes is realized over the OSAS (Open Service Architecture for Sensors) platforman architecture for programming a network of sensors and actuators [13], [14].…”

Section: Interoperability Architecturesmentioning

confidence: 99%

Power-managed smart lighting using a semantic interoperability architecture

Bhardwaj

Syed

Özçelebi

et al. 2011

IEEE Trans. Consumer Electron.

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Discovery, monitoring and management in smart spaces composed of low capacity nodes

Cited by 14 publications

References 14 publications

Design and Implementation of a Vehicle Social Enabler Based on Social Internet of Things

Design and Implementation of a Vehicle Social Enabler Based on Social Internet of Things

Exploring user-centered intelligent road lighting design: a road map and future research directions

Power-managed smart lighting using a semantic interoperability architecture

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