Delay-Optimal Back-Pressure Routing Algorithm for Multihop Wireless Networks

Although the back-pressure (BP) algorithm has been proven to be a throughput-optimal policy for traffic scheduling and routing in wireless networks, the optimal control of delays in the BP algorithm remains an open problem, especially for conventional multihop networks. To enhance the delay performa...

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Bibliographic Details
Published in:IEEE transactions on vehicular technology Vol. 67; no. 3; pp. 2617 - 2630
Main Authors: Hai, Long, Gao, Qinghua, Wang, Jie, Zhuang, He, Wang, Ping
Format: Journal Article
Language:English
Published: New York IEEE 01.03.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Back-pressure algorithm
Computer simulation
Delay
delay optimal control
Delays
Heuristic algorithms
Knowledge management
Markov analysis
multi-hop networks
Optimal control
Optimization
Queues
Routing
Spread spectrum communication
Stability analysis
Throughput
Traffic delay
Wireless networks
ISSN:0018-9545, 1939-9359
Online Access:Get full text
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Summary:Although the back-pressure (BP) algorithm has been proven to be a throughput-optimal policy for traffic scheduling and routing in wireless networks, the optimal control of delays in the BP algorithm remains an open problem, especially for conventional multihop networks. To enhance the delay performance, we proposed an improved BP algorithm called sojourn-time-based BP (STBP) by introducing a novel delay metric called the sojourn time backlog (STB). The STB considers the queue length and accumulated packet delays comprehensively. It provides more pressure to push forward flows suffering from greater delays. Based on this new metric, the calculation of the routing weight for each packet is determined for maximizing the difference of the STB in the routing process. The proposed routing algorithm is robust and distributed, and does not require any prior knowledge of network connections and load conditions. We analyze the network stability with delay considerations and prove the throughput optimality of the STBP in multihop networks. Simulation results reveal that the enhanced algorithm effectively improves the end-to-end delay while ensuring throughput optimality.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2017.2770183