Abstract
Communication protocols and wireless networking technique is a cohesive part of any light management system. IEEE 802.15.4 standard based networking techniques for the climate-adaptive light management system and its energy model for sensor actuator node is the focus of this paper. This light integrated scheme with adaptive controls provides the desired illuminance at appropriate times with uniformity, by reducing the discomfort glare and energy use. The first part of this paper investigates the architecture and energy consumption of camera-based wireless sensor-actuator nodes with the help of energy models, including a control unit for the Light Management System. Then focused on the energy savings and techno-economic analysis of this wireless networked lighting system in a test room with automated control of Light Emitting Diode luminaire and Venetian blinds. The wireless sensor actuator networked lighting system performance is analyzed by evaluating the node energy consumption in idle and active mode with real time measurements. The energy consumption evaluation of the nodes allows users to improve node life time and think about power management schemes. The climate-adaptive control scheme shows improved uniformity and significant energy savings.
Highlights
The application of Wireless Sensor Actuator Network (WSAN) is gaining momentum in residential and commercial buildings control applications
This paper presents the network framework architecture of the design and implementation associated with a camerabased Daylight-Artificial Light Integrated Scheme (DALIS) [3]
The front panel of the LabVIEW program developed for wireless networked camera-based lighting control system and the blind positions and artificial light variation and the real time validation of the LMS are shown in figure 7
Summary
The application of Wireless Sensor Actuator Network (WSAN) is gaining momentum in residential and commercial buildings control applications. Energy consumption is the most important factor to determine the life of a sensor network because sensor nodes are driven by battery. The energy optimization can be done by having energy awareness in every aspect of design and operation. This ensures that energy awareness is incorporated into groups of communicating sensor nodes, actuator nodes, coordinator, control technologies, luminaires and drivers, communication and implementation platforms [2]. For a battery powered network scheme, the important sources of energy consumption are transmit power, receive power, power consumed for idle listening of sensor nodes. The performance analysis of the WSAN is in terms of its Quality of service parameter [5]: the energy consumption of the sensors, network nodes and actuators are carried out
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