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Description
Set up the IoT simulator to transmit real-time messages that can either fall within a specific range or derive from a random assortment of values, taking into account both time and client factors. The system should replicate dynamic messages in two formats, TEXT and JSON, closely mimicking the functionality of actual IoT devices. It will facilitate the transmission of four distinct types of dynamic values, including system variables like timestamps and client identifiers, as well as random, range-based, linear, and constant values, allowing for diverse data publication in each sequence to effectively align with genuine device behavior. Users can configure IoT events by uploading a predefined dataset via a CSV file using the CSV Importer feature. Each command dispatched to the edge device or IoT endpoint will generate a response from the device upon completing the requested action. Additionally, users can create realistic scenarios with automatic responses through Behavior Simulation, an engine designed to reply to subscribers based on the messages and topics received. Once a simulation request is initiated, the virtual connected devices commence data publication to the endpoint, ensuring seamless interaction within the simulated environment. This comprehensive setup enhances the realism of IoT simulations, bridging the gap between theoretical modeling and practical application.
Description
The Losant Enterprise IoT Platform serves as a powerful application enablement tool, empowering businesses to create IoT products, services, and applications that can securely scale to accommodate millions of devices. We support IoT solution development for a diverse range of Fortune 500 clients across various sectors, including telecommunications, manufacturing, and industrial IoT. Our platform is equipped to handle multiple use cases, such as asset tracking, monitoring industrial equipment, creating smart environments, and facilitating contact tracing. Every component of Losant, from Edge Compute to End-User Experiences, integrates seamlessly to convert data into customized IoT solutions. Utilize Losant’s edge computing capabilities to deploy logic directly onto edge devices, which helps minimize dependency on constant connectivity and allows for pre-filtering of data before it reaches the cloud. Enhance organization of data and devices through Losant’s advanced tagging and device modeling features. Ensure robust security measures are in place with TLS encryption and fully revocable access keys assigned to each device, thereby reinforcing the integrity of the entire IoT ecosystem. By leveraging these tools, enterprises can significantly enhance their operational efficiency and adaptability in an increasingly connected world.
API Access
Has API
API Access
Has API
Integrations
Amazon Web Services (AWS)
Eptura
Google Cloud Platform
Microsoft Azure
Salesforce
Integrations
Amazon Web Services (AWS)
Eptura
Google Cloud Platform
Microsoft Azure
Salesforce
Pricing Details
$599 per year
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Bevywise Networks
Founded
2016
Country
United States
Website
www.bevywise.com/iot-simulator/
Vendor Details
Company Name
Losant
Founded
2015
Country
United States
Website
www.losant.com
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization
Product Features
IoT
Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization