Home automation design using 6LoWPAN wireless sensor networks

Tudose, Dan Ștefan; Voinescu, Andrei; Petrareanu, Madi-Tatiana; Bucur, Andrei; Loghin, Dumitrel; Bostan, Adrian; Țăpuș, Nicolae

doi:10.1109/dcoss.2011.5982181

Cited by 30 publications

(10 citation statements)

References 5 publications

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“…The deployment of such a system is not easy due to the existences of different communication standards. Tudose et al [29] proposed a wireless sensor networking using 6LoWPAN to connect sensors and actuators in a home automation application. The authors of [11] presented Syndesi, a framework for creating personalized smart environments using WSANs.…”

Section: Related Workmentioning

confidence: 99%

Indoor Location for Smart Environments with Wireless Sensor and Actuator Networks

Zhao

Kuendig

Carrera

et al. 2017

2017 IEEE 42nd Conference on Local Computer Networks (LCN)

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Smart environments interconnect indoor building environments, indoor wireless sensor and actuator networks, smartphones, and human together to provide smart infrastructure management and intelligent user experiences. To enable the "smart" operations, a complete set of hardware and software components are required. In this work, we present Smart Syndesi, a system for creating indoor location-aware smart building environments using wireless sensor and actuator networks (WSANs). Smart Syndesi includes an indoor tracking system, a WSAN for indoor environmental monitoring and activation automation, and a gateway interconnecting WSAN, tracking system with mobile users. The indoor positioning system tracks the real-time location of occupants with high accuracy, which works as a basis for indoor location-based sensor actuation automation. To show how the multiple software/hardware components are integrated, we implemented the system prototype and performed intensive experiments in indoor office environments to automate the indoor location-driven environmental sensor monitoring and activation process. The tracked indoor location of a user's smartphone triggers the retrieval of environmental measurements and activates the actuators automatically (i.e. turn on/off lights, switch on/off fans) based on the location and correlated environmental sensor information.

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Section: Related Workmentioning

confidence: 99%

Indoor Location for Smart Environments with Wireless Sensor and Actuator Networks

Zhao

Kuendig

Carrera

et al. 2017

2017 IEEE 42nd Conference on Local Computer Networks (LCN)

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“…Most of researches in smart home area are divided into three parts: smart home design, authentication and security, and human interaction. In smart home design, the research focus on optimum design for communication and low power [1,[3][4][5][6][7][8][9][10][11][12]. In authentication and security, the researches focus on utilization of PIN and biometrics [13][14][15][16].…”

Section: Smart Homementioning

confidence: 99%

“…Most of the proposed smart home system was using low power protocol ZigBee [4,9], Modbus [12], and Hydra Framework [10]. In [7] present the design of smart home system based on 6LowPAN WSN. In [8] explain the details about the disadvantages of IP technology for smart home system.…”

Section: Smart Homementioning

confidence: 99%

Developing and Evaluating Mobile Sensing for Smart Home Control

Mafrur¹,

Khusumanegara²,

Bang³

et al. 2015

IJSH

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Many of researches in controlling smart home system have been proposed. Most of previous approaches in controlling smart home system requires interventions and commands from user. This paper propose a system about smart home based on mobile sensing that does not requires interventions and commands from the user. Mobile Sensing is used to records daily routine activities of the user. Then the system automatically gives a response to user based on his/her daily routine activities. We have implemented our approach to demonstrate the feasibility and effectiveness of using mobile sensing for controlling smart home system. Furthermore, we evaluate our approach and present the details in this paper.

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“…In the home automation design field a wireless sensor networks system using 6LoWPAN is proposed [8]. Besides, the JavaScript Object Notation (JSON) format is used to encode the data from the sensors which are deployed in the building.…”

Section: Introductionmentioning

confidence: 99%

Evaluating design approaches for smart building systems

Evangelatos

Samarasinghe

Rolim

2012

2012 IEEE 9th International Conference on Mobile Ad-Hoc and Sensor Systems (MASS 2012)

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Abstract-As we are moving towards to the Internet of Things (IoT) era, Wireless Sensor Networks (WSN) in smart buildings delineate the heart of such systems' architecture. WSN systems are mature enough to support the IoT vision and different architectural designs and communication protocols are developed to realize this vision. In this paper, two different WSN architectural approaches for smart building systems are presented. In the first one, IPv6 over Low power Wireless Personal Area Networks (6LoWPAN) deployment is used, which is designed specifically for constrained embedded devices. In the second one, the system is developed without the usage of IP. To evaluate these two approaches we implemented a scenario of a smart building environment on top of them. We analyze and compare them, both from theoretical and practical point of view. Finally, as a proof of concept we evaluated them experimentaly in our testbed and we reported our conclusions.

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Home automation design using 6LoWPAN wireless sensor networks

Cited by 30 publications

References 5 publications

Indoor Location for Smart Environments with Wireless Sensor and Actuator Networks

Indoor Location for Smart Environments with Wireless Sensor and Actuator Networks

Developing and Evaluating Mobile Sensing for Smart Home Control

Evaluating design approaches for smart building systems

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