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

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Differentiated Data Aggregation Routing Scheme for Energy Conserving and Delay Sensitive Wireless Sensor Networks.

Xujing Li¹, Wei Liu², Mande Xie³

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

Sensors (Basel, Switzerland)

|July 22, 2018

Summary

This summary is machine-generated.

A new Differentiated Data Aggregation Routing (DDAR) scheme optimizes wireless sensor networks (WSNs) by routing data with different Quality of Service (QoS) needs via distinct paths. This improves energy efficiency and network lifetime.

Keywords:

delay sensitive differentiated data aggregation routing energy efficiency wireless sensor networks

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Area of Science:

Wireless Sensor Networks (WSNs)
Network Protocols
Data Aggregation

Background:

Data aggregation in WSNs reduces transmission volume but can lead to excessive energy consumption and network lifetime degradation.
Existing methods often aggregate all data types into a single frame, failing to meet diverse Quality of Service (QoS) requirements for industrial applications.
Varying delay and QoS needs of sensor data in industrial settings necessitate specialized aggregation strategies.

Purpose of the Study:

To propose a Differentiated Data Aggregation Routing (DDAR) scheme to reduce energy consumption in WSNs.
To guarantee that data aggregation delay meets QoS requirement constraints.
To enhance network lifetime and energy efficiency through differentiated routing and optimized aggregation parameters.

Main Methods:

Implemented a DDAR scheme where data with different QoS requirements are routed along distinct paths.
Configured aggregator parameters, such as aggregation deadline (Tt) and threshold (Nt), tailored to specific QoS requirements for each path.
Developed an improved DDAR scheme to further boost performance by utilizing residual energy in nodes farther from the sink, adjusting Tt and Nt to increase aggregation frequency.

Main Results:

The DDAR scheme reduced data transmission delay by 25.01% and improved network lifetime by 55.45% compared to previous schemes.
Overall energy efficiency increased by 83.99% with the DDAR scheme.
The improved DDAR scheme further enhanced energy efficiency by 33.97% and the service guarantee rate by 10.11%.

Conclusions:

The DDAR scheme effectively reduces energy consumption and controls delay within QoS constraints in WSNs.
Differentiated routing and adaptive parameter configuration are key to improving energy efficiency and network lifetime.
The improved DDAR scheme offers significant performance gains, making it suitable for industrial WSN applications with diverse QoS needs.