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

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

Published on: September 8, 2023

A two-hop based adaptive routing protocol for real-time wireless sensor networks.

Sandhya Rachamalla¹, Anitha Sheela Kancherla²

¹Department of ECE, University College of Engineering, Osmania University, Hyderabad, India.

|August 2, 2016

Summary

This study introduces an energy-efficient adaptive routing mechanism for wireless sensor networks (WSNs). It optimizes node energy by discarding delayed packets, enhancing routing efficiency and real-time performance.

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Area of Science:

Computer Science
Network Engineering
Wireless Communication

Background:

Wireless Sensor Networks (WSNs) face significant challenges in managing limited node energy while maintaining routing efficiency.
Existing routing protocols often struggle to balance energy conservation with real-time performance requirements.

Purpose of the Study:

To propose an energy-efficient adaptive routing mechanism for WSNs.
To enhance node energy savings by intelligently managing delayed packets without compromising real-time performance.
To improve overall network efficiency through adaptive transmission power control.

Main Methods:

Developed an energy-efficient adaptive routing mechanism for WSNs.
Integrated an adaptive transmission power algorithm based on wireless link attenuation.

Keywords:

Adaptive transmission power Deadline miss ratio End-to-end delay Energy consumption Real-time routing

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Last Updated: Mar 17, 2026

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

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Evaluated the mechanism by associating it with the PATH (two-hop based real-time routing protocol) to form the EE-ARP (energy-efficient adaptive routing protocol).

Main Results:

The EE-ARP demonstrated superior performance in energy consumption.
The protocol effectively reduced the deadline miss ratio.
Significant improvements were observed in packet drop rates and end-to-end delay.

Conclusions:

The proposed energy-efficient adaptive routing mechanism significantly conserves node energy in WSNs.
EE-ARP successfully maintains real-time performance while optimizing energy usage.
This approach offers a robust solution for energy management in WSNs.