Wireless sensor networks as part of a web-based building environmental monitoring system

Jang, Woo Hyuk; Healy, William M.; Skibniewski, Mirosław J.

doi:10.1016/j.autcon.2008.02.001

Cited by 164 publications

(72 citation statements)

References 11 publications

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“…And the research by Jang W.S et al [7] showed that advanced wireless sensor technology can be used by engineers to monitor conditions in and around buildings.…”

Section: Literature Review About the Automation Of The Liftmentioning

confidence: 99%

A Conceptualization for the Automation of a Lift Car Operation in High Rise Building Construction

Lee¹,

Kwon²,

Lee³

2011

28th International Symposium on Automation and Robotics in Construction (ISARC 2011)

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ABSTRACT:The objective of this study provide a conceptualization for the automation of lift car operations on high-rise building construction sites, in order to build high-rise building effectively and make a proper lifting plan. We got the week point of a hand-operated lift car, and got problems of an automatic lift car up to now. And we proposed the improvement schemes considered the week points and the problems for the automation of the lift car.

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“…And the research by Jang W.S et al [7] showed that advanced wireless sensor technology can be used by engineers to monitor conditions in and around buildings.…”

Section: Literature Review About the Automation Of The Liftmentioning

confidence: 99%

A Conceptualization for the Automation of a Lift Car Operation in High Rise Building Construction

Lee¹,

Kwon²,

Lee³

2011

28th International Symposium on Automation and Robotics in Construction (ISARC 2011)

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“…For simplicity, assume the BS is located in the center of the field, and the distance of any node to the BS or its CH is d 0 . Therefore, the energy dissipated by the CH node during a round is given by the Equation (5).…”

Section: Optimal Number Of Clustersmentioning

confidence: 99%

“…In the past few years, numerous clustering algorithms have been proposed for a wide range of applications [3], [4], [5].…”

Section: Related Workmentioning

confidence: 99%

EECDA: Energy Efficient Clustering and Data Aggregation Protocol for Heterogeneous Wireless Sensor Networks

Kumar

Aseri

Patel³

2011

INT J COMPUT COMMUN

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In recent years, energy efficiency and data gathering is a major concern in many applications of Wireless Sensor Networks (WSNs). One of the important issues in WSNs is how to save the energy consumption for prolonging the network lifetime. For this purpose, many novel innovative techniques are required to improve the energy efficiency and lifetime of the network. In this paper, we propose a novel Energy Efficient Clustering and Data Aggregation (EECDA) protocol for the heterogeneous WSNs which combines the ideas of energy efficient cluster based routing and data aggregation to achieve a better performance in terms of lifetime and stability. EECDA protocol includes a novel cluster head election technique and a path would be selected with maximum sum of energy residues for data transmission instead of the path with minimum energy consumption. Simulation results show that EECDA balances the energy consumption and prolongs the network lifetime by a factor of 51%, 35% and 10% when compared with Low-Energy Adaptive Clustering Hierarchy (LEACH), Energy Efficient Hierarchical Clustering Algorithm (EEHCA) and Effective Data Gathering Algorithm (EDGA), respectively.

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“…They are malicious attack detection, secure routing, secure data aggregation, secure localization and secure node selection. In paper [9], a Web-based system was developed that allows a user to mine the database using parameters such as the type of data, location of sensor, and the time of data acquisition. It is anticipated that this research will demonstrate the potential of using wireless sensor networks for monitoring buildings.…”

Section: Related Work IImentioning

confidence: 99%

Personalized Recommendation System Based on WSN

Zhang

et al. 2016

Int. J. Onl. Eng.

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Abstract-Aiming at the limitation of the traditional user modeling technology in the personalized recommendation system, a new user modeling method based on wireless sensor network and ontology technology is introduced in this paper. In order to retrieve the tourist attractions conforming to the users' needs from a large amount of the tourist information, a personalized recommendation model based on the ontology technology and travel information is designed in this paper. Absorbing the context awareness research achievement, combining with the mobile Internet context sensitive features, the personalized recommendation algorithm based on ontology is discussed. The application research of the ontology technology applying in collaborative filtering recommendation system is analyzed deeply, and then the personalized and visual information push service delivery for users is realized. The experimental results show that the proposed WsnTRS recommendation system has a higher prediction accuracy comparing with the existing similar algorithms.

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Wireless sensor networks as part of a web-based building environmental monitoring system

Cited by 164 publications

References 11 publications

A Conceptualization for the Automation of a Lift Car Operation in High Rise Building Construction

A Conceptualization for the Automation of a Lift Car Operation in High Rise Building Construction

EECDA: Energy Efficient Clustering and Data Aggregation Protocol for Heterogeneous Wireless Sensor Networks

Personalized Recommendation System Based on WSN

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