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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Routing Strategies for Isochronal-Evolution Random Matching Network.

Weicheng Lun1, Qun Li1, Zhi Zhu1

  • 1College of Systems Engineering, National University of Defense Technology, Changsha 410073, China.

Entropy (Basel, Switzerland)
|February 25, 2023
PubMed
Summary

We developed a new dynamic network model, the Isochronal-Evolution Random Matching Network (IERMN), for packet transmission. The Least Hop Path with Minimum Delay (LHPMD) routing strategy significantly outperformed the Least Delay Path with Minimum Hop (LDPMH) strategy.

Keywords:
complex dynamic networkisochronal-evolution random matching networkpath planningrouting strategytraffic dynamics

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Area of Science:

  • Computer Science
  • Network Science
  • Telecommunications

Background:

  • Real-world networks like satellite and mobile call systems require abstract models.
  • Dynamic network evolution and traffic dynamics are critical research areas.
  • Packet transmission efficiency is a key performance indicator in communication networks.

Purpose of the Study:

  • To propose a novel dynamic network model, the Isochronal-Evolution Random Matching Network (IERMN).
  • To investigate traffic dynamics and packet transmission within IERMNs.
  • To develop and evaluate efficient routing strategies for IERMNs.

Main Methods:

  • Introduced the Isochronal-Evolution Random Matching Network (IERMN) model with pairwise disjoint edges.
  • Developed a replanning-based routing decision-making algorithm allowing packet sending delays.
  • Designed and implemented two routing strategies: Least Delay Path with Minimum Hop (LDPMH) and Least Hop Path with Minimum Delay (LHPMD).

Main Results:

  • The Least Hop Path with Minimum Delay (LHPMD) strategy demonstrated superior performance over the Least Delay Path with Minimum Hop (LDPMH) strategy.
  • LHPMD achieved better results in critical packet generation rate, delivered packet count, and packet delivery ratio.
  • LHPMD also showed improved average posterior path lengths compared to LDPMH.

Conclusions:

  • The proposed IERMN model provides an effective abstraction for dynamic real-world networks.
  • The LHPMD routing strategy is more efficient for packet transmission in IERMNs than LDPMH.
  • IERMNs and the LHPMD strategy offer potential improvements for navigation and mobile communication networks.