Smart home based on wireless sensor network
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The document proposes a smart home control network that combines wireless sensor networks (WSNs) and power line communications (PLCs) to reduce wireless interference and unnecessary energy consumption. An isolated WSN is established in each room to monitor environmental parameters and transfer data to a management station via PLCs rather than WSNs. Experimental results showed the proposed network mitigated wireless interference. It also presented a smart lighting control algorithm and analysis showing electricity use for lighting could be reduced by at least 40% with smart controls on sunny or cloudy days.
![Smart Control Algorithm for Lighting
Systems
To save the most energy, the management system must
automatically adjust the working states of home appliances in
response to environmental data. CIE Central Bureau suggests that
the minimum illumination (level) of indoor work places should range
from 300 to 500 lux [38]. To save energy consumption, natural light
must be considered in the design of lighting systems for buildings
[31]–[33]. Hence, in the following a smart control algorithm for
lighting systems, as shown in Fig. 5, is proposed.](https://image.slidesharecdn.com/smarthomebasedonwirelesssensornetwork-181022073605/85/Smart-home-based-on-wireless-sensor-network-8-320.jpg)
Smart home based on wireless sensor network
- 1. Smart Home Based on Wireless Sensor Network & Power Line Communications (Mingfu Li, Hung-Ju Lin) AMIRHOSSEIN SABERI - 2018
- 2. Goals The goals are to reduce the impact of wireless interference on a smart home control network and unnecessary energy consumption of a smart home.
- 3. How? An isolated WSN with one coordinator, which is integrated into the PLC transceiver, is established in each room. The coordinator is responsible for transferring environmental parameters obtained by WSNs to the management station via PLCs. The control messages for home appliances are directly transferred using PLCs rather than WSNs. According to experimental results, the impact of wireless interference on the proposed smart home control network is substantially mitigated. Additionally, a smart control algorithm for lighting systems and an analysis of illumination of a fluorescent lamp were presented. The energy saving of lighting systems relative to those without smart control was evaluated. Numerical results indicate that the electricity consumption on a sunny or cloudy day can be reduced by at least 40% under the smart control.
- 4. Why using PLC? Network coverage Shared frequency Lower network latency Packet failure rate
- 5. Summarized novelty and contributions Scalable architecture that combines WSN and PLC technologies for the smart home control Smart control algorithm for lighting systems in smart homes Prototype of the smart home control network with the proposed smart lighting control algorithm is developed
- 6. Architecture of proposed smart home control network
- 8. Smart Control Algorithm for Lighting Systems To save the most energy, the management system must automatically adjust the working states of home appliances in response to environmental data. CIE Central Bureau suggests that the minimum illumination (level) of indoor work places should range from 300 to 500 lux [38]. To save energy consumption, natural light must be considered in the design of lighting systems for buildings [31]–[33]. Hence, in the following a smart control algorithm for lighting systems, as shown in Fig. 5, is proposed.
- 9. Energy Saved by Lighting Using Smart Control
- 10. Devices
Editor's Notes
- #4: An isolated WSN with one coordinator, which is integrated into the PLC transceiver, is established in each room. The coordinator is responsible for transferring environmental parameters obtained by WSNs to the management station via PLCs. The control messages for home appliances are directly transferred using PLCs rather than WSNs. According to experimental results, the impact of wireless interference on the proposed smart home control network is substantially mitigated. Additionally, a smart control algorithm for lighting systems and an analysis of illumination of a fluorescent lamp were presented. The energy saving of lighting systems relative to those without smart control was evaluated. Numerical results indicate that the electricity consumption on a sunny or cloudy day can be reduced by at least 40% under the smart control. Moreover, a prototype for the proposed smart home control network with the smart control algorithm was implemented. Experimental tests demonstrate that the proposed system for smart home control networks is practically feasible and performs well. یک WSN جداگانه به همراه
- #6: تازگی و مشارکت
- #7: Figure 1 displays the proposed architecture of the smart home control network. Three rooms in a smart home are considered as an example. Each home appliance is equipped with a PLC transceiver, which can directly receive commands to control the home appliance and send replies about the state of the home appliance to the management station. An isolated WSN, which includes various sensor nodes and one coordi- nator that is integrated into the PLC transceiver, is deployed in each room to collect environmental information, such as temperature, illumination, humidity, and other information. In the proposed architecture, WSNs are responsible for collecting environmental parameters and transmitting them to WSN coordinators. While PLCs are used as a network backbone to connect all WSN coordinators and transfer the collected environmental data to the management station and the control messages to home appliances.
- #8: Packet failure
- #9: مدیریت سیستم به صورت اتوماتیک بر اساس اطلاعات دریافتی از محیط
- #11: In the CC2530 ZigBee device, the microcontroller MSP430F2274 is mainly used to control the ZigBee device and related data communications among sensors, CC2530ZNP, and the USB stick. The ZigBee device provides a Serial Communication Interface (SCI) for data communications be- tween the CC2530ZNP and the MSP430F2274 microcon- troller. Therefore, the PLC transceiver can directly fetch en- vironmental data from the appropriate I/O pins, such as pin 34 (Tx) and pin 35 (Rx), of the CC2530ZNP. To achieve this goal, an interface between the PLC transceiver and the ZigBee coordinator for direct communication is designed. Our approach is described as follows. First, different programs for controlling data communications are written into the PLC transceiver and the ZigBee coordinator, respectively. Next, the USB stick is removed from the ZigBee coordinator. Finally, the PLC transceiver and the ZigBee coordinator are connected to achieve one-way data transmissions between them. Such a method simplifies the design of an environmental data gathering system. However, there is no difficulty to implement a two-way transmission between the WSN coordinator and the PLC transceiver if other designs require doing so.