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Monnit ALTA Advanced Wireless Edge Gateway

DISCONTINUED
Product code: MNG2-4-EDG-CCE

Unfortunately, the MNG2-4-EDGE-CCE has been discontinued, check out our other Monnit Gateways here for more options.

Monnit’s Edge Gateways allow your Monnit Wireless Sensors to communicate directly to your chosen MQTT broker. Local configuration management of your wireless sensor network and MQTT broker configurations make it simple to gather data directly to your data store.

Recommended for applications that require aggregation of data from Monnit Wireless Sensors to any cloud provider or for applications that need JSON or XML data configuration.

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Note: Gateway required to operate this sensor
The multiple award-winning Advanced EDGE Gateway aggregates data from feature-rich Monnit Wireless Sensors to mainstream cloud providers, such as Amazon AWS, Google Cloud Platform, Microsoft Azure, or IBM Watson. Coupling the prominent MQTTS protocol and the IoTs broadest sensor range, Monnits Edge Gateway fulfills a key IoT mission of making deployments more agile and productive.
The Edge Gateway features a step-by-step guided, multilingual web interface for configuring and managing Monnit Wireless Sensors, as well as designating MQTT brokers. As the Ethernet-based gateway receives sensor data, the gateway fingerprints the data with a cryptographic validation stamp. This authenticated data is then transmitted to a cloud broker (or multiple brokers), where it arrives in a standard format. The Edge Gateways integrated macros enable data configuration in virtually any format, such as JSON or XML, making it a powerful tool for data analysis and action.
Features:
- Scalability: One gateway accommodates up to 100 wireless sensors
- Robust processing: Linux UBUNTU ARM-based processing platform
- Security: Data authentication via unique cryptographic validation fingerprint
- Redundancy: Data transmission to multiple cloud providers or MQTT servers, ensuring operational reliability in the event of server failure
Applications:
- Sensor data collection for later analysis, to identify bounds, trends and patterns in sensed conditions (temperature, humidity, light, vibration, etc.)
- Alarm applications, e.g. where sensed conditions exceed predefined limits.
- Redundant/high availability delivery of sensor data, potentially using Cloud providers of different types.
- Secure delivery of sensor data over MQTTS.
- Machine learning applications, e.g. for development of behavioural models of various kinds.
- Wide distribution of sensor data to multiple consumers.
- Verification of the source, times and content of sensor data from a particular gateway, through cryptographic validation stamps applied by the gateway.

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