Print Email Facebook Twitter Co-design of Smart Lighting and Communication for Visible Light Networks Title Co-design of Smart Lighting and Communication for Visible Light Networks Author Wu, H. Contributor Langendoen, K.G. (mentor) Zuninga, M. (mentor) Hauff, C. (mentor) Faculty Electrical Engineering, Mathematics and Computer Science Department Software Technology Programme Embedded Software Group Date 2017-05-31 Abstract Visible Light Communication has been intriguing both the industry and the academia for over a decade. However, most of the research efforts in this area only consider scenarios where the light emitted from the transmitters is constant. This is not true when Smart Lighting, a technology designed for more comfortable and energy efficient buildings by adjusting the illumination of fixtures based on ambient light availability, is involved. Under the smart lighting, the changes of fixtures’ illumination affect the communication links significantly. Therefore, new methods must be proposed for a revolutionary co-design of smart lighting and communication for the visible light networks. This project proposes SmartVLC, a system that can optimize the through- put (benefit communication) while maintaining the LEDs’ primary illumin- ation function (benefit smart lighting). A new modulation scheme Adaptive Multiple Pulse Position Modulation (AMPPM) is proposed to support fine- grained dimming levels and optimize the throughput under each dimming level via pattern multiplexing. An algorithm is also designed to adjust the LEDs’ dimming level smoothly. The proposed AMPPM and the LEDs’ il- lumination adaptation algorithm are implemented into a low-cost platform. The performance of SmartVLC is evaluated under both static and dynamic scenarios. The current version of SmartVLC supports a communication dis- tance of 3.6 m and a throughput of 107 Kbps in an indoor environment. Compared to state-of-the-art solutions, the performance gain of SmartVLC can reach up to 190%. To reference this document use: http://resolver.tudelft.nl/uuid:5e1452a4-18da-49c1-b219-bb6cd5742c46 Part of collection Student theses Document type master thesis Rights (c) 2017 H. Wu Files PDF thesis_Hongjia_Wu.pdf 6.37 MB Close viewer /islandora/object/uuid:5e1452a4-18da-49c1-b219-bb6cd5742c46/datastream/OBJ/view