The process of assessing different tools on the basis of characteristics such as assisted protocols, sensor kinds, scalability, ease of utilization, and adaptability are encompassed in a comparative analysis of IoT sensor simulators. The following is an extensive comparative analysis:

  1. Cooja (Contiki OS)
  • Summary:
  • An IoT network simulator is Cooja which is incorporated with Contiki OS.
  • Typically, simulation of network protocols and low-power wireless devices are facilitated by this simulator.
  • Characteristics:
  • Assists IoT protocols: RPL, 6LoWPAN, CoAP, etc.
  • Cooja has the capability to facilitate integrated simulation of physical and digital nodes.
  • Numerous radio medium systems such as multipath, UDGM, etc are provided.
  • Assisted Sensors:
  • Humidity, temperature, light, and motion sensors.
  • By expanding Contiki OS, it can personalize sensors.
  • Scalability:
  • Specifically, for small to medium-sized IoT networks, it is appropriate.
  • It can possibly simulate hundreds of nodes.
  • Advantages:
  • It contains the ability to simulate actual hardware devices.
  • The main advantage is extensive simulation and personalizable protocols.
  • Disadvantages:
  • The major disadvantage is the steep learning curve for learners.
  • Mainly, for high scalability, it offers constrained assistance.
  1. NS-3 (Network Simulator 3)
  • Summary:
  • NS-3 simulator is determined as a prominent discrete-event network simulator.
  • It is extensible with different IoT-based modules.
  • Characteristics:
  • Assists numerous network systems: LoRa, Wi-Fi, LTE, etc.
  • IoT protocols: RPL, CoAP, 6LoWPAN, MQTT (custom module).
  • Assisted Sensors:
  • Valuable sensor simulations are provided by third-party extensions such as INET.
  • Through mobility and application systems, it assists simple sensor simulation.
  • Scalability:
  • NS-3 is highly scalable. For simulating thousands of nodes, it is efficient and appropriate.
  • Advantages:
  • NS-3 offers a valuable library of network systems.
  • It is adjustable and highly adaptive.
  • Disadvantages:
  • The major requirements for the arrangement process are coding expertises.
  • The significant demerit of NS- 3 is the steep learning curve.
  1. CupCarbon
  • Summary:
  • It particularly concentrates on LPWAN and smart city applications.
  • CupCarbon is a smart city and urban IoT network simulator.
  • Characteristics:
  • Mobility systems and GIS support like OpenStreetMap are encompassed.
  • For IoT network implementation, it offers a visual editor.
  • IoT protocols: IEEE 802.15.4, LoRa, Zigbee.
  • Assisted Sensors:
  • Custom sensor designing by means of scripting.
  • Predetermined sensors such as gas, radiation, and temperature.
  • Scalability:
  • For medium-scale networks with hundreds of nodes, CupCarbon is convenient.
  • Advantages:
  • Practical smart city settings are facilitated by GIS incorporation.
  • Offering basic visual interface and scripting assistance is considered as a significant benefit.
  • Disadvantages:
  • Contrasted to Cooja or NS-3, it is less adaptable.
  • The main demerit of CupCarbon is, it offers constrained protocol assistance.
  1. OMNeT++
  • Summary:
  • Typically, OMNeT++ is determined as a general-purpose discrete-event network simulator.
  • IoT- specific models such as Castalia and INET are provided.
  • Characteristics:
  • This simulator is modular and extensible with C++.
  • IoT protocols: CoAP, 6LoWPAN, RPL, MQTT (SimMQTT).
  • Assisted Sensors:
  • Castalia model: environment, health, and custom sensors.
  • INET model: humidity, temperature, and custom sensors.
  • Scalability:
  • The OMNeT++ simulator is appropriate for extensive network simulations that simulates thousands of nodes.
  • Advantages:
  • OMNeT++ offers a valuable set of systems and protocols.
  • The key advantage is highly modular and adaptive.
  • Disadvantages:
  • The major disadvantage of OMNeT++ is the steep learning curve.
  • For complicated simulations, it needs coding expertises.
  1. TOSSIM (TinyOS Simulator)
  • Summary:
  • Intending low-power wireless networks, TOSSIM is considered as a simulator for TinyOS.
  • Generally, it simulates actual TinyOS applications.
  • Characteristics:
  • For different radio frameworks such as multipath, shadowing, TOSSIM is assistive.
  • IoT protocols: RPL, 6LoWPAN.
  • Assisted Sensors:
  • Custom sensor designing through TinyOS.
  • Predetermined light and temperature sensors.
  • Scalability:
  • For small-scale networks that simulate hundreds of nodes, it is more appropriate.
  • Advantages:
  • TOSSIM is examined as lightweight and is completely user-friendly.
  • It permits examining the actual TinyOS applications.
  • Disadvantages:
  • Constrained protocol and model assistance are the key demerits of TOSSIM.
  • It is also less adaptable when contrasted to OMNeT++ or NS-3.
  1. IoTSim-Edge
  • Summary:
  • For IoT and Edge computing networks, it is determined as the best simulator.
  • Typically, it is constructed on the top of CloudSim.
  • Characteristics:
  • IoT protocols: CoAP, HTTP, MQTT.
  • Specifically, for task offloading it provides edge computing simulation.
  • Assisted Sensors:
  • By means of configuration, custom sensors can be described.
  • Major sensors are humidity, location, and temperature.
  • Scalability:
  • For extensive networks where there is a simulation of thousands of nodes, it is appropriate.
  • Advantages:
  • IoTSim-Edge enables the incorporation of cloud and edge computing.
  • The significant merit is the practical simulation of IoT-edge-cloud hierarchy.
  • Disadvantages:
  • The arrangement process in IoTSim-Edge can be complicated.
  • There is constrained protocol assistance.

Comparative Table








Supported Protocols



LoRa, Zigbee, 802.15.4











Sensor Support


Yes (via INET)


Yes (INET, Castalia)



Ease of Use














Learning Curve









  • For complicated simulations needing high scalability, NS-3 and OMNeT++ are determined as efficiently appropriate.
  • Cooja is perfect and effective for extensive simulations encompassing low-power networks.
  • Specifically, for smart city settings, CupCarbon is appropriate and user-friendly.
  • The IoTSim-Edge simulator is suitable for edge computing settings.

What cool IoT projects can I do with a temperature sensor?

A diversity of innovative chances is uncovered based on the utilization of a temperature sensor in IoT projects. We provide few fresh IoT projects ideas encompassing temperature sensors:

  1. Smart Thermostat System
  • Summary:
  • A thermostat model has to be developed in such a manner that contains the ability to learn user priorities and adapts the temperature in an automatic way.
  • In order to track room temperature, it is appreciable to employ a temperature sensor such as DHT22.
  • Characteristics:
  • For remote control, integrate to a cloud environment through mobile application.
  • Specifically, for energy effectiveness, focus on utilizing a recommendation engine.
  • Tools/Components:
  • It includes Raspberry pi or Arduino, Firebase, DHT22 or DS18B20 temperature sensor, MQTT.
  1. Weather Station
  • Summary:
  • To track temperature, humidity, and pressure, aim to develop an extensive weather station.
  • It is approachable to present data on a regional screen and upload it to a cloud environment.
  • Characteristics:
  • To forecast regional weather trends, utilize machine learning.
  • By means of a web dashboard, visualize data patterns.
  • Tools/Components:
  • Typically, Grafana, MQTT, Raspberry Pi or Arduino, DHT22, BMP180 sensors are encompassed.
  1. Cold Chain Monitoring System
  • Summary:
  • At the time of transportation, track the temperature of unstable goods.
  • When the temperature crosses the boundary of applicable ranges, offer actual-time warnings.
  • Characteristics:
  • For centralized tracking, it provides a cloud-related dashboard.
  • It includes GPS tracking of goods mainly for logistics enhancement.
  • Tools/Components:
  • It involves ESP32, ThingSpeak, GPS module, Twilio, DS18B20 or TMP36 temperature sensor.
  1. Smart Greenhouse Monitoring System
  • Summary:
  • To sustain best growing situations, construct an automated greenhouse model.
  • Specifically, for tracking it is beneficial to employ humidity, temperature, and soil dampness sensors.
  • Characteristics:
  • This study provides automated control of irrigation and ventilation models.
  • For remote tracking and control, offer a suitable mobile application.
  • Tools/Components:
  • The tools that are encompassed in this project are Node-RED, Relay module, Raspberry Pi, DHT22, soil dampness sensor.
  1. Smart Refrigerator
  • Summary:
  • The temperature inside a refrigerator has to be tracked and focus on transmitting warnings when the temperature increases or the door is left open.
  • By employing RFID tags, append a food expiration tracker.
  • Characteristics:
  • By means of email or SMS, offer appropriate warnings.
  • On a web dashboard, it visualizes fridge data.
  • Tools/Components:
  • It includes RFID reader, MQTT, Raspberry Pi or Arduino, DS18B20 temperature sensor.
  1. IoT-Based Fire Detection System
  • Summary:
  • It is approachable to formulate a fire identification model that is capable of generating an alert and transmitting warnings.
  • For identification purposes, aim to employ temperature and smoke sensors.
  • Characteristics:
  • Through email or SMS, transmit warnings to mobile devices.
  • For extra security criterions, combine with smart home models.
  • Tools/Components:
  • Twilio, MQ-2 smoke sensor, NodeMCU, ThingSpeak, DHT22 or TMP36 temperature sensor.
  1. Temperature-Controlled Fan System
  • Summary:
  • To adapt momentum on the basis of surrounding atmospheric temperature, develop a fan control framework.
  • On a regional screen, present the data and upload to the cloud.
  • Characteristics:
  • By means of PWM signals, regulate the momentum of the fan.
  • Through a mobile application, offer remote control.
  • Tools/Components:
  • MOSFET, Arduino, Fan, DS18B20 or DHT22 temperature sensors are encompassed.
  1. Smart Water Heater Controller
  • Summary:
  • A smart water heater controller has to be developed that sustains at the required temperature.
  • By employing a waterproof temperature sensor, track water temperature.
  • Characteristics:
  • For planning heating times, offer a web or mobile interface.
  • It contains the capability to track and control energy utilization.
  • Tools/Components:
  • It includes Raspberry Pi or Arduino, MQTT, Relay module, DS18B20 waterproof temperature sensor.
  1. Smart Incubator for Egg Hatching
  • Summary:
  • Mainly, for egg hatching, focus on developing a smart incubator that sustains ideal humidity and temperature.
  • It is appreciable to regulate heating components and fans on the basis of sensor readings.
  • Characteristics:
  • For consistent incubation, computerized rotation of eggs.
  • Through a web dashboard, carry out actual-time tracking.
  • Tools/Components:
  • Servo motor, Relay module, Arduino or Raspberry Pi, DHT22 or DS18B20 temperature sensor.
  1. Smart Coffee Roaster
  • Summary:
  • To adapt temperature and roasting time automatically, it is appreciable to formulate a smart coffee roaster.
  • By means of employing a temperature sensor, track bean temperature.
  • Characteristics:
  • Through a web dashboard, offer roasting biographies.
  • On an LCD screen, aim to present actual-time temperature.
  • Tools/Components:
  • Arduino, MQTT, LCD screen, K-Type thermocouple or DS18B20 temperature sensor are encompassed.
IOT Sensor Simulator Topics

IOT Sensor Simulator Topics & Ideas

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  19. Security issues in IoT applications using certificateless aggregate signcryption schemes: An overview
  20. Access management of IoT devices using access control mechanism and decentralized authentication: A review


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