Representative Sensor Selection for IoT Data Redundancy
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Solution Overview
Problem
In IoT environments, the increasing number of connected devices leads to redundant sensor data transmission and storage, resulting in wasteful power consumption, communication resources, and storage capacity due to overlapping data from identical sensors.
Innovation Solution
A method and apparatus that determine a representative sensor among multiple sensors, transmitting only the data from this sensor, thereby reducing redundant data transmission and storage by identifying and utilizing a single sensor's data as representative for the others, based on patterns and types.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If sensor data from all sensors is transmitted and stored, then complete sensor information is available, but power consumption, communication resources, and storage capacity are wasted due to redundant data
Solution Approach 1:
Multiple sensors of the same type are merged into a single representative sensor. The system identifies sensors with overlapping data patterns and selects one representative sensor to transmit data, combining the functionality of multiple sensors into a single data source to eliminate redundancy while maintaining information completeness.
Solution Approach 2:
The system changes the parameter of sensor data transmission by introducing a representative sensor selection mechanism. Instead of transmitting data from all sensors, the system identifies representative sensors based on sensor type, position, and data patterns, then transmits only from these selected sensors, thereby reducing power consumption while maintaining information quality.
2Loss of information
If sensor data from all sensors is transmitted and stored, then complete sensor information is available, but communication resources are wasted due to redundant data transmission
Solution Approach 1:
Multiple sensors of the same type are merged into a single representative sensor. The system identifies sensors with overlapping data patterns and selects one representative sensor to transmit data, combining the functionality of multiple sensors into a single data source to eliminate redundancy while maintaining information completeness.
Solution Approach 2:
The system extracts and removes redundant sensor data from the transmission stream. By identifying sensors whose data patterns overlap with representative sensors, the system extracts only the essential unique data from representative sensors and eliminates duplicate transmissions, thereby conserving communication resources.
3Loss of information
If sensor data from all sensors is transmitted and stored, then complete sensor information is available, but storage capacity is wasted due to redundant data
Solution Approach 1:
Multiple sensors of the same type are merged into a single representative sensor. The system identifies sensors with overlapping data patterns and selects one representative sensor to transmit data, combining the functionality of multiple sensors into a single data source to eliminate redundancy while maintaining information completeness.
Solution Approach 2:
The system discards redundant sensor data that can be inferred from representative sensors. By identifying sensors whose data patterns are consistent with representative sensors, the system discards the transmission and storage of duplicate data, recovering storage capacity while maintaining the ability to reconstruct complete sensor information when needed.
Data Source
AI summary
The present disclosure relates to a method and apparatus for determining a representative sensor using sensor data collected from a plurality of sensors and processing the sensor data using sensor data of the determined representative sensor. The present disclosure relates to a sensor network, Machine Type Communication (MTC), Machine-to-Machine (M2M) communication, and technology for Internet of Things (IoT). The present disclosure may be applied to intelligent services based on the above technologies, such as smart home, smart building, smart city, smart car, connected car, health care, digital education, smart retail, security and safety services.


