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Updated: May 25, 2026

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

Achieving network level privacy in Wireless Sensor Networks.

Riaz Ahmed Shaikh¹, Hassan Jameel, Brian J d'Auriol

¹Department of Computer Engeering, Kyung Hee University, Global Campus, Korea. riaz289@acm.org

Sensors (Basel, Switzerland)

|February 2, 2012

Summary

This study introduces novel algorithms for enhancing network privacy, specifically for identity, route, and location. The proposed methods offer improved trustworthiness and reliability against common privacy attacks with minimal resource cost.

Keywords:

anonymity eavesdropping hop-by-hop trace back privacy routing wireless sensor networks

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Last Updated: May 25, 2026

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

Area of Science:

Computer Science
Network Security
Cybersecurity

Background:

Network privacy is crucial, encompassing identity, route, location, and data.
Achieving comprehensive network privacy is challenging due to sensor node constraints (energy, memory, computation) and network characteristics (mobility, topology, QoS).

Purpose of the Study:

To propose novel algorithms and mechanisms for enhancing network-level privacy.
To address limitations in identity, route, location, and data privacy within sensor networks.

Main Methods:

Development of two new algorithms focused on identity, route, and location privacy.
Implementation of a data privacy mechanism.
Analysis of the proposed solutions' impact on memory and energy consumption.
Validation of protection against privacy disclosure attacks.

Main Results:

The proposed solutions enhance trustworthiness and reliability in network privacy.
The algorithms and mechanism operate with modest memory and energy costs.
Demonstrated protection against eavesdropping and hop-by-hop trace back attacks.

Conclusions:

The developed privacy algorithms and data mechanism effectively address network privacy challenges.
The solutions offer a practical approach to improving sensor network security without significant resource overhead.
The findings contribute to more secure and trustworthy sensor network communications.