Technology Labs

Internet of things (IoT)

About Product

The WL-WSN Trainer is a portable Wireless Sensor Network testbed using ESP32 modules for real-time study of Wi-Fi communication, routing, and sensor-based applications. It supports up to multi-nodes with self-organizing multi-hop networks and requires no frequent reprogramming. A user-friendly GUI enables easy setup, monitoring, and control for practical WSN experiments. The trainer includes support for Wi-Fi-based communication, sensor interfacing, and routing experiments, enabling realistic hands-on WSN learning and application testing.

  • Evaluate  802.11 (Wi-Fi) Networks

  • Examine wireless communication, networks, and sensor communication by reconfiguration of Radio and  Network Parameters

  • Measuring Wireless media propagation and parameters affecting the communication reliability

  • Measuring parameters impacting wireless communication and network formation

  • Evaluating wireless and sensor network performance parameters

  • Formulate various defined / programmed Network Configuration

  • Explore the Network Layer parameters that are not allowed to play with in standard     wireless network

  • Build Applications with available on-board sensors

  • Explore How IoT Cloud works.

  • Controlling connect devices from anywhere using your PC/Mobile phones.

  • Build application to demonstrate home automation.

  • v  802.11(Wi-Fi )  based ( Master Device and Network     Processing Device )

  • OLED display 1.3”
    LED indications: Power, Rx/Tx
    Keys :Program, Reset, User key
    Serial interface for Programming

  • Processor:

  • Xtensa®single-/dual-core 32-bit LX6 microprocessor

  • Radio      

  • 2.4GHz  802.11 compatible
    Upto 20.5 dBm of transmitting power, adjustable transmitting power
    Receiver sensitivity –90 dBm
    TX/RXcurrent 95~100 mA @ 0 dBm
    3.3V operation

  • Battery: 3500mAh

  • Sensors

  • Integrated Temperature, Pressure and Humidity Sensor
    PWM,Relay, DAC, ADC & two programmable DIO  

  • “Wireless Ginie”: GUI Application Software

  • WSN Control Commands to establish Network

  • Radio/transmission setting:  Power, LQI threshold, messagetransmission Retries
    Experiment settings: Packet interval, Packet size, Acknowledge type, Experiment Duration,
    Changedevice address and Role
    Rese tnetwork
    Ping
    Network device list
    Start experiment
    Stop experiment
    Read and process result

  • WSN Sensor Control Command

  • Set PWM
    Configure DIO
    Set/GetDIO val.
    Read sensor and ADC values

  • Configurable Parameters

  • Radio Parameters
    Power: 0 dBm to 19.5 dBm in steps of 11.5 dBm Specific to WiFi (LR) setupo  RadioChannel
    LQIThreshold, connectivity range: 0-255
    Numberof packet transfer retry: 1- 3

  • Experimental Parameters

  • Packet interval time: 0-999999 mS
    Experiment duration: 1-9999 seconds
    Datasize in packet: 0-99 Bytes
    Packet type: Sequential, Random
    ACK for packet: No ACK, Hardware ACK
    Startof experiment: Start on reset, Start after command

  • Network Configuration Setting

  • Facility to emulate and define Network Configuration. The user can set the list ofdevices in the MD and NPD to allow or to block these devices during network formation.
    This facility allows the user to create user defined network topology as well createmulti-hop network within the laboratory space.

  • WSN Network Parameters and Processing Display

  • Facility to display Device list with details like Device, Parent, Hops, DevLQI,
    Facility to display Device Parameters like Device, packet Interval, duration, expected Data packets, packet size, Retry, Ack Type, LQI Th.
    Facilityto display processed Results like device, data/control transmitted packets,Communication Load %, Dev Efficiency %, Expected NW Efficiency%, NW Efficiency%

  • Wireless network Setup

  • Measurement of Distance and Signal Strength (LQI). Find relation between distance and LQI

  • To study LQI and packet delivery efficiency with No ACK, Hardware ACK and Soft ACK

  • To study LQI variations through different media (e.g. concrete wall of differentthickness, brick wall etc.)

  • Measurement of Packet Delivery Ratio.

  • Measurement of Routing overhead

  • Measurement of Bandwidth overheads with No ACK, Hardware ACK and Soft ACK.

  • To study Effect of packet payload on network throughput

  • To study Effect of packet transmission rate over network throughput

  • Measurement of Average Transmission Delay.

  • To study Effect of hops over network transmission delay  

  • Use of Network Nodes as IoT Sensor ( Temperature / Pressure / Humidity )

  • Use of Network Nodes as Actuator- Driving PWM Based LED , Relay

  • Use of Network Node for measuring Voltage using ADC.

  • Calculate communication load, Network efficiency, Device efficiency in different topologylike star, tree, linear Network.

  • IOT Cloud

  • Home security Alarm Interface with IoT cloud and IoT carrier

  • Inventory Control interface with IoT cloud and IoT carrier

  • Thermostat Control interface with IoT cloud and IoT carrier

  • Interfacing Sound Sensor with Sensor Base

  • Interfacing of Air  Pressure Sensor with Sensor Base

  • Interfacing of Temperature Sensor with Sensor Base

  • Interfacing of Accelerometer Sensor with Sensor Base

With 35 years of legacy in Technical Education, Akademika  extends its expertise to Defence and Skill development, building Innovative, Reliable Training Systems for the next generation of Learners.

Address

Unit No 128/129, Hema Industrial Estate, Sarvodaya Nagar,
Jogeshwari East, Mumbai, Maharashtra 400060
Tele +91 7447438443

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