Wireless Sensor Network and Sensor Fusion Technology for Ubiquitous Smart Living Space Applications (Invited Paper)

Feng, Ming-Whei; Wen, Show-Ling; Tsai, Kun-Lin; Liu, Yung-Chih; Lai, Hung-Ren

doi:10.1109/isuc.2008.87

Cited by 16 publications

(13 citation statements)

References 4 publications

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“…CONDE implementation in DMSN encompasses 10 main components: ManagerC, DecisionMakerC, DecisionC, DecisionSystemC, IntegrationC, IntegrationSystemC, ConflictC, ConflictSystemC, ConsensusC and ConsensusSystemC. Besides them, basic TinyOS components were used to implement radio and sensor boards (they were omitted in the figure for the sake of clarity). The MainC component provides the boot interface and is the primary component of TinyOS, from which the nodes boot (initialize).…”

Section: Methodsmentioning

confidence: 99%

“…In this simulated experiment, we considered Scenario 3. Table shows the obtained results for DD and ESSB for CONDE, CONDE in an early development stage, where there was no application integration through decision chaining and for works in and . In terms of ESSB, it can be observed that CONDE performed 19.71% better than , 13.23% better than CONDE without integration, 8.53% better than .…”

Section: Experimental Evaluationmentioning

confidence: 99%

“…In this experiment, we compared CONDE fully developed as presented in this paper to three other solutions: (i) CONDE in an early development stage, where there was no application integration through decision chaining nor a consensus phase; (ii) the solution presented in ; and (iii) the solution presented in . This comparison allows us to analyse the benefits of a decentralised solution, of in‐network data processing and of integrating applications at the decision level.…”

Section: Experimental Evaluationmentioning

confidence: 99%

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A control and decision system for smart buildings using wireless sensor and actuator networks

Farias

Soares

Pìrmez

et al. 2014

Trans. Emerging Tel. Tech.

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A research field that makes use of information and communication technologies to provide solutions to contemporaneous environmental challenges such as greenhouse gas emissions and global warming is the 'smart building' field. The use of wireless sensor and actuator networks (WSANs) emerges as an alternative for the use of information and communication technologies in the smart buildings. However, most of smart building applications make use of centralised architectures with sensing nodes transmitting messages to a base station wherein, effectively, the control and decision processes happen. In this context, we present CONDE, a decentralised CONtrol and DEcision-making system for smart building applications using WSANs. CONDE main contributions are as follows: (i) the decentralisation of the control and decision-making processes among WSAN nodes, saving energy of both the WSAN and the building; (ii) the integration of applications through sharing the sensed data and chaining decisions between applications within the WSAN, also saving energy of both the WSAN and the building; and (iii) the provision of a consensual multilevel decision that takes into account the cooperation among nodes to have a broader view of the monitored building. Performed experiments have shown CONDE gains in terms of the following: (i) response time; (ii) system efficiency; and (iii) energy savings from the network and the building.

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Section: Methodsmentioning

confidence: 99%

Section: Experimental Evaluationmentioning

confidence: 99%

Section: Experimental Evaluationmentioning

confidence: 99%

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A control and decision system for smart buildings using wireless sensor and actuator networks

Farias

Soares

Pìrmez

et al. 2014

Trans. Emerging Tel. Tech.

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“…It also provides data and management services (including transmit and receive packets via IP connection). Finally, the ZIPT is responsible for 973 packet transportation over IP networks, including ZigBee frames and bridge device control frames like connection request [37]. The presented research works for IP over WSN clearly state that WSN can feature Internet connectivity.…”

mentioning

confidence: 89%

A survey on IP‐based wireless sensor network solutions

Rodrigues

Neves

2010

Int J Communication

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SUMMARYWireless sensor networks (WSNs) are composed of thousands of smart-sensing nodes, which capture environment data for a sink node. Such networks present new challenges when compared with traditional computer networks, namely in terms of smart node hardware constraints and very limited energy resources. Ubiquitous computing can benefit from WSNs from the perspective that sensed data can be used instead of the user without explicit intervention, turning ubiquitous computing into a reality. Internet connectivity in WSNs is highly desirable, featuring sensing services at a global scale. Two main approaches are considered: proxy based or sensor node stack based. This second approach turns sensors into dataproducing hosts also known as 'The Internet of Things'. For years, the TCP/IP (Transmission Control Protocol/Internet Protocol) suite was considered inappropriate for WSNs, mainly due to the inherent complexity and protocol overhead for such limited hardware. However, recent studies made connecting WSNs to the Internet possible, namely using sensor node stack based approaches, enabling integration into the future Internet. This paper surveys the current state-of-the-art on the connection of WSNs to the Internet, presents related achievements, and provides insights on how to develop IP-based communication solutions for WSNs today.

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“…Millions of sensors (physical, Webs and social Webs) are available in sensor networks via the internet around the globe collecting enormous amount of data, ranging from GPS enabled sensors to small localized surveillance systems [3]. Until recently, most of these sensors have been used in sophisticated military and industrial applications.…”

Section: Introductionmentioning

confidence: 99%

Sensor composer

Chan

2011

Proceedings of the ACM International Conference Companion on Object Oriented Programming Systems Languages and Applications Com

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Sensor networks have been gaining popularity with the proliferation of internet and wireless networks. Millions of sensors (physical, Webs and social Webs) are available in sensor networks via the internet around the globe collecting enormous amount of data. Generally, sensors provide information about various aspects of the physical world. They can provide information about weather, traffic conditions, efficiency of data center operation, enable autonomic management of smart buildings, and are being used in numerous mobile applications. Due to the diversity and the number of available sensors, it is practically impossible for the general users to manually define the set of sensors that best meets their application needs. The ability to select automatically and intelligently the best set of sensors to form a high level reusable virtual sensor will create a new class of applications and expand the horizon of numerous current applications. To meet these challenges, we developed the Sensor Composer, a foundation tool in which we treat each sensor as a sharable and reusable entity and assemble these sensors to form higher level abstract sensor based on the user requirements.

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Wireless Sensor Network and Sensor Fusion Technology for Ubiquitous Smart Living Space Applications (Invited Paper)

Cited by 16 publications

References 4 publications

A control and decision system for smart buildings using wireless sensor and actuator networks

A control and decision system for smart buildings using wireless sensor and actuator networks

A survey on IP‐based wireless sensor network solutions

Sensor composer

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