Telemetry Aggregator for IoT Data Transmission
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Solution Overview
Problem
Low power telemetry devices face rapid battery drain when directly transmitting data to an Evolved NodeB, and existing Evolved NodeBs have limited processing capacity, making it difficult to handle data from a large number of IoT devices.
Innovation Solution
A telemetry aggregator that receives and aggregates data frames from multiple telemetry devices, determines a preferred time and frequency for transmission, and transmits the aggregated data frame to the Evolved NodeB, optimizing power usage and processing load.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If low power telemetry devices transmit data directly to eNodeB, then data transmission is enabled, but battery power drains quickly
Solution Approach 1:
A gateway device is introduced as an intermediary between telemetry devices and eNodeB. The gateway receives data from multiple telemetry devices, aggregates it, and forwards to eNodeB. This reduces the transmission distance and power consumption for individual telemetry devices while maintaining reliable data transmission capability.
Solution Approach 2:
Data from multiple telemetry devices is merged/aggregated at the gateway into a single data stream before transmission to eNodeB. This consolidation reduces the number of individual transmissions required, thereby reducing overall power consumption while maintaining complete data coverage.
2Adaptability or versatility
If eNodeB handles data from many IoT devices, then network coverage is improved, but processing capability becomes insufficient
Solution Approach 1:
The system segments the data handling function by separating aggregation tasks from processing tasks. The gateway performs data aggregation and preliminary processing, while eNodeB focuses on core network processing. This segmentation allows the network to support more devices without overwhelming the eNodeB's processing capability.
Solution Approach 2:
Data aggregation and preliminary processing are performed at the gateway before data reaches eNodeB. This preliminary action reduces the volume and complexity of data requiring eNodeB processing, enabling the system to accommodate more IoT devices while maintaining processing efficiency.
Data Source
AI summary
Embodiments herein relate to a method, telemetry aggregator and system for transmitting data from a plurality of telemetry devices to an evolved nodeB (eNodeB) over wireless communication network. A telemetry aggregator (TA) is placed in between the telemetry device and the eNodeB. The TA is placed close to the power source. This ensures that even the low power telemetry devices can transmit the data over the mobile network. The TD transmits plurality of data frames to the TA. The TA aggregates and assembles the plurality of data frames into an aggregated data frame. TA then transmits the aggregated data frame to the eNodeB at a preferred time and frequency. Since the plurality of data frames are aggregated, there is no need for the eNodeB to be connected with the Internet of Things (IoT) devices or TD for the processing of the control messages and the data.


