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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

A method for clustering and cooperation in wireless multimedia sensor networks.

Mohammad Alaei¹, Jose M Barcelo-Ordinas

¹Computer Architecture Department, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain. malaei@ac.upc.edu

Sensors (Basel, Switzerland)

|February 10, 2012

Summary

Wireless multimedia sensor networks require new clustering methods. This study proposes a Field of View (FoV) based clustering mechanism to conserve energy and extend network lifetime by coordinating nodes and avoiding redundant sensing.

Keywords:

Wireless Multimedia Sensor Network (WMSN)clustering cooperation energy conservation field of view object detection scheduling

Related Experiment Videos

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
Electrical Engineering
Wireless Sensor Networks

Background:

Wireless multimedia sensor nodes often have uncorrelated sensing areas compared to radio neighbors.
Traditional sensor clustering algorithms are unsuitable for Wireless Multimedia Sensor Networks (WMSNs) due to unique sensing patterns.
Dense networks with overlapping Fields of View (FoVs) lead to power wastage from redundant sensing.

Purpose of the Study:

To propose a novel clustering mechanism for WMSNs.
To conserve energy and prolong the network lifetime in WMSNs.
To enhance coordination among sensor nodes for efficient sensing and processing.

Main Methods:

A clustering mechanism based on overlapped Field of View (FoV) areas is presented.
Nodes within a cluster are coordinated for cooperative task performance.
A cooperative scheduling scheme for object detection is developed as a case study.

Main Results:

The proposed method effectively coordinates nodes to avoid redundant sensing and processing.
Energy conservation is achieved through optimized resource utilization.
Network lifetime is prolonged by reducing unnecessary power consumption.

Conclusions:

The FoV-based clustering mechanism is effective for WMSNs.
Cooperative sensing and processing enhance energy efficiency.
The approach offers a viable solution for extending the operational life of WMSNs.