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

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Routing Selection Algorithm for Mobile Ad Hoc Networks Based on Neighbor Node Density.

Xiaolin Li^1,2, Xin Bian¹, Mingqi Li¹

¹Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai 201210, China.

Sensors (Basel, Switzerland)

|January 23, 2024

Summary

This summary is machine-generated.

Common neighborhood density AODV (CND-AODV) reduces network overhead in mobile ad hoc networks. This routing protocol enhances data transmission efficiency and reliability in high-density environments.

Keywords:

AODV CND-AODV ND-AODV ad hoc neighbor nodes route discovery

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Area of Science:

Computer Science
Network Engineering

Background:

Mobile ad hoc networks require optimal routing for data transmission.
Increasing network density elevates network overhead, impacting performance.
Existing protocols like ND-AODV attempt to mitigate overhead but face limitations.

Purpose of the Study:

To introduce a novel routing protocol, CND-AODV, for mobile ad hoc networks.
To address the limitations of ND-AODV in managing network overhead in dense environments.
To improve routing accuracy and resource utilization.

Main Methods:

Developed the Common Neighborhood Density AODV (CND-AODV) routing protocol.
Implemented intelligent control information processing based on receiving node positioning.
Conducted simulation experiments to evaluate performance metrics.

Main Results:

CND-AODV significantly reduces network overhead compared to ND-AODV.
The protocol enhances overall network performance, including throughput and packet delivery rate.
Latency is improved due to more efficient routing.

Conclusions:

CND-AODV offers a more effective solution for routing in high-density mobile ad hoc networks.
The protocol demonstrates superior efficiency and reliability over existing methods.
Intelligent consideration of node positioning is key to reducing overhead.