Course Description

 Purpose:

This self-paced training course describes and demonstrate the CommScope RUCKUS IoT LoRa Plugin and LNS gateway for integration into the IoT Controller. It demonstrates configuring a LoRa Gateway to connect to the IoT Controller and validating the connection to the LNS from the IoT dashboard, identifies the correct data needed to onboard a LoRa Sensor into the LNS and configure the LNS for Sensor onboarding, and demonstrates using the WebSocket interface on the LNS into the Ruckus Rules engine to validate that the LNS sensor data is provided and demonstrates how testing devices updates are pushed to the LNS and the IoT Rules engine.

Who Should Attend:

This course is designed for RUCKUS sales personnel, system engineers, VARs, and RUCKUS Partners desiring a high-level understanding of all RUCKUS products.

Course Objectives:  

• Describe LoRa Integration in the IoT controller, and a high-level Dashboard LNS walkthrough.
• Demonstrate configuring a LoRa Gateway to connect to the IoT controller using the SPF engine and validating the Connection to the LNS from the dashboard.
• Identify the correct data needed to onboard a LoRa Sensor into the LoRa Network Server (LNS) and configuring the LNS for Sensor onboarding, validating that the sensor connects and displays counters, device overview and validation.
• Demonstrate using the WebSocket interface on the LNS into the Ruckus Rules engine to validate that the LNS sensor data is provided and LNS is providing data using the WebSocket interface.
• Describe how test device updates are pushed to the LNS and Rules engine and how to decode  a payload to correctly validate that the system is working, and that valid data is being provided.

Prerequisites: 

Before taking this course, students should have working knowledge of:  

• Wireless Networking Fundamentals
• Layer 2, Layer 3 Networking: MAC addressing, bridging/switching, VLANs, 802.1Q
• Introduction to RUCKUS Wireless Products
• Knowledge of installing and configuring vSZ.

Delivery Options: Self-paced online training 

Duration for all modules: Approximately 30 Minutes