Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns

A mixture of streaming and short-lived traffic presents a common yet challenging scenario for Backpressure routing in wireless multi-hop networks. Although state-of-the-art shortest-path biased backpressure (SP-BP) can significantly improve the latency of backpressure routing while retaining throughput optimality, it still suffers from the last-packet problem due to its inherent per-commodity queue structure and link capacity assignment. To address this challenge, we propose Ant Backpressure (Ant-BP), a fully distributed routing scheme that incorporates the multi-path routing capability of SP-BP into ant colony optimization (ACO) routing, which allows packets of different commodities to share link capacity in a first-in-first-out (FIFO) manner. Numerical evaluations show that Ant-BP can improve the latency and delivery ratio over SP-BP and ACO routing schemes, while achieving the same throughput of SP-BP under low-to-medium traffic loads.

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Publication Details

Published
2024-10-28
DOI
https://doi.org/10.1109/milcom61039.2024.10774011
Primary Topic
Advanced Wireless Network Optimization
Type
article
Field-Weighted Citation Impact
0.00

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article

Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns

Santiago Segarra, Zhongyuan Zhao, Kevin Chan, Gunjan Verma et al.
Advanced Wireless Network Optimization
article

Ant Backpressure Routing for Wireless Multi-hop Networks with Mixed Traffic Patterns

Santiago Segarra, Zhongyuan Zhao, Kevin Chan, Gunjan Verma, Ananthram Swami, Negar Erfaniantaghvayi
article en

Abstract

A mixture of streaming and short-lived traffic presents a common yet challenging scenario for Backpressure routing in wireless multi-hop networks. Although state-of-the-art shortest-path biased backpressure (SP-BP) can significantly improve the latency of backpressure routing while retaining throughput optimality, it still suffers from the last-packet problem due to its inherent per-commodity queue structure and link capacity assignment. To address this challenge, we propose Ant Backpressure (Ant-BP), a fully distributed routing scheme that incorporates the multi-path routing capability of SP-BP into ant colony optimization (ACO) routing, which allows packets of different commodities to share link capacity in a first-in-first-out (FIFO) manner. Numerical evaluations show that Ant-BP can improve the latency and delivery ratio over SP-BP and ACO routing schemes, while achieving the same throughput of SP-BP under low-to-medium traffic loads.

DEVCOM Army Research Laboratory (US), United States Army Combat Capabilities Development Command (US), Rice University (US)
Army Research Office
Openalex Percentile: Top 80%
Advanced Wireless Network Optimization
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