研究目的
To describe a testbed of Internet-of-Things (IoT) for environmental monitoring based on RoF and assess the impact of RoF on network performance by using a new methodology oriented to real environments.
研究成果
The RoF system is attractive for IoT environmental monitoring given its advantages of low latency and centralized processing, especially in scenarios where the distance from the antenna to the central location is long or where the optical infrastructure is already available.
研究不足
The degradation introduced by the RoF system can partially be compensated by applying power control in a XBEE module following international regulation, which limits the transmit power to 10 dBm. The single-hop coverage of the network decreases, requiring multi-hop communication for sensor nodes that become out of reach.
1：Experimental Design and Method Selection:
The experiment focuses on the setup of a robust and flexible environmental monitoring system in the UNICAMP campus, using several IoT wireless sensor devices over an RoF system employing optical infrastructure already deployed in the campus.
2：Sample Selection and Data Sources:
The experiment uses IoT wireless sensor devices and RoF systems for data collection.
3：List of Experimental Equipment and Materials:
Two directly-modulated-based OZ810 RoF transceivers from OpticalZonu, a 300 m single mode fiber (SMF), an 8 dBi indoor omnidirectional dipole antenna, an RF circulator (C2), an Arduino UNO, an XBee-Pro S1
4：4 RF module, a Raspberry Pi 3 Model B, and another circulator (C1). Experimental Procedures and Operational Workflow:
8 The sensor node transmits messages for each power level within the set {10 dBm, 8 dBm, 2 dBm, -3 dBm}. One hundred replications of each experiment were performed.
5：Data Analysis Methods:
The performance of the RoF and wireless-only systems is compared in terms of packet success ratio and RSSI values.
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