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Updated: May 24, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

A distributed geo-routing algorithm for wireless sensor networks.

Gyanendra Prasad Joshi1, Sung Won Kim

  • 1Department of Information and Communication Engineering, Yeungnam University, Gyeongsang buk-do 712-749, Korea;

Sensors (Basel, Switzerland)
|March 13, 2012
PubMed
Summary
This summary is machine-generated.

A new void avoidance algorithm (VAA) helps wireless sensor networks (WSNs) overcome routing failures in sparse networks. VAA efficiently forwards packets using greedy routing, reducing energy consumption and control overhead.

Keywords:
communication voidgeo-routinggreedy routingwireless sensor networks

Related Experiment Videos

Last Updated: May 24, 2026

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

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

Published on: September 8, 2023

Area of Science:

  • Computer Science
  • Wireless Communication
  • Network Routing

Background:

  • Geographic wireless sensor networks (WSNs) rely on position-based greedy routing.
  • Greedy routing struggles in sparse networks, necessitating costly recovery algorithms.
  • Existing recovery algorithms are often too resource-intensive for constrained WSNs.

Purpose of the Study:

  • To propose a novel void avoidance algorithm (VAA) for WSNs.
  • To enhance packet delivery in sparse WSNs without complex recovery mechanisms.
  • To reduce energy consumption and control overhead in WSN routing.

Main Methods:

  • Developed a void avoidance algorithm (VAA) based on upgrading virtual distance.
  • Implemented VAA to allow nodes to overcome communication voids using only greedy routing.
  • Evaluated VAA's performance and correctness using the NS-2 network simulator.

Main Results:

  • VAA effectively removes stuck nodes by transforming the routing graph.
  • The algorithm guarantees packet delivery in topologically valid paths.
  • Simulations demonstrate VAA's lower energy consumption, efficient paths, and reduced control overheads compared to other protocols.

Conclusions:

  • VAA offers a distributed, efficient solution for void avoidance in WSNs.
  • The algorithm is responsive to network changes and does not require network planarization.
  • VAA presents a viable alternative to costly recovery algorithms in sparse WSNs.