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Updated: May 5, 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

Multi-Probing Opportunistic Routing in Buffer-Constrained Wireless Sensor Networks.

Nannan Sun^1,2, Shouxin Cao², Xiaoyuan Liu³

¹China Satellite Network Application Co., Ltd., Beijing 100160, China.

Sensors (Basel, Switzerland)

|May 4, 2026

Summary

This summary is machine-generated.

This study introduces a multi-probing opportunistic routing strategy for wireless sensor networks (WSNs) with limited buffer capacity. The proposed method enhances data delivery by optimizing transmission opportunities in mobile WSNs.

Keywords:

limited buffer capacity multiple probing strategy opportunistic routing performance evaluation wireless sensor networks

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Last Updated: May 5, 2026

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

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Published on: September 8, 2023

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

Published on: March 13, 2017

Area of Science:

Computer Science
Network Engineering

Background:

Wireless sensor networks (WSNs) are crucial for ubiquitous sensing but face challenges due to limited buffer capacity and mobile, decentralized network topologies.
Reliable and timely data delivery is difficult in practical WSN deployments because of these constraints.

Purpose of the Study:

To propose a general multi-probing opportunistic routing strategy for buffer-constrained WSNs.
To enhance transmission opportunity utilization despite realistic sensing device limitations.

Main Methods:

Utilized Queueing Theory and Markov Chain Theory to model sensor buffer queueing processes.
Determined the limiting distribution of buffer occupation states.
Developed a theoretical performance modeling framework to evaluate WSN performance metrics.

Main Results:

Evaluated per-flow throughput and expected end-to-end delay for the proposed routing strategy.
Verified the performance modeling framework through network simulations.
Presented extensive numerical results demonstrating network performance behaviors.

Conclusions:

The proposed multi-probing opportunistic routing strategy effectively addresses data delivery challenges in buffer-constrained WSNs.
The theoretical framework provides valuable insights for WSN configuration and operation.
Findings offer guidelines for optimizing performance in mobile and resource-limited WSN environments.