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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

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Published on: September 8, 2023

A Delay-Aware and Reliable Data Aggregation for Cyber-Physical Sensing.

Jinhuan Zhang¹, Jun Long², Chengyuan Zhang³

¹School of Information Science and Engineering, Central South University, Changsha 410083, China. jinhuan_zhang@csu.edu.cn.

Sensors (Basel, Switzerland)

|February 21, 2017

Summary

This summary is machine-generated.

This study introduces a new data aggregation scheme, TSR-DARDA, for cyber-physical systems. It effectively reduces data transmission delay while ensuring reliability for spherical sensor networks.

Keywords:

delay physical sensing reliability tiered structure routing

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Area of Science:

Cyber-Physical Systems
Sensor Networks
Data Aggregation

Background:

Cyber-physical systems require reliable and timely data collection from sensors.
Existing data aggregation methods often struggle to balance reliability and delay.

Purpose of the Study:

To propose a novel data aggregation scheme, TSR-DARDA, for spherical physical objects.
To address the challenges of reliability and delay in sensor data aggregation.

Main Methods:

Developed a Tiered Structure Routing-based Delay-Aware and Reliable Data Aggregation (TSR-DARDA) scheme.
Divided spherical networks into circular tiers for simultaneous data transmission.
Implemented packet retransmission for reliability and in-network aggregation for reduced latency.

Main Results:

TSR-DARDA enables simultaneous data transmission from numerous nodes.
The scheme ensures transmission reliability through packet retransmission.
Achieved minimized latency while maintaining data collection reliability.

Conclusions:

TSR-DARDA effectively minimizes delay under reliability constraints.
Extensive analysis and simulations validate the scheme's superior performance.
The proposed method offers a robust solution for data aggregation in spherical sensor networks.