A Cross-Layer Backpressure Architecture for Wireless Multihop Networks

Laufer, Rafael; Salonidis, Theodoros; Lundgren, Henrik; Guyadec, Pascal Le

doi:10.1109/tnet.2013.2249592

Cited by 51 publications

(67 citation statements)

References 25 publications

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“…As shown in prior work, this is not restrictive for practical applications, e.g. see [14]. Also, delayed backlog information is sufficient for throughput optimality, see [15, §4.7].…”

Section: Maximum Multicast Throughput (Mmt) Policymentioning

confidence: 90%

In-Network Congestion Control for Multirate Multicast

Paschos

Modiano

et al. 2016

IEEE/ACM Trans. Networking

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Abstract-We present a novel control scheme that dynamically optimizes multirate multicast. By computing the differential backlog at every node, our scheme adaptively allocates transmission rates per session/user pair in order to maximize throughput. An important feature of the proposed scheme is that it does not require source cooperation or centralized calculations. This methodology leads to efficient and distributed algorithms that scale gracefully and can be embraced by low-cost wireless devices. Additionally, it is shown that maximization of sum utility is possible by the addition of a virtual queue at each destination node of the multicast groups. The virtual queue captures the desire of the individual user and helps in making the correct resource allocation to optimize total utility. Under the operation of the proposed schemes backlog sizes are deterministically bounded, which provides delay guarantees on delivered packets. To illustrate its practicality, we present a prototype implementation in the NITOS wireless testbed. The experimental results verify that the proposed schemes achieve maximum performance while maintaining low complexity.

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“…As shown in prior work, this is not restrictive for practical applications, e.g. see [14]. Also, delayed backlog information is sufficient for throughput optimality, see [15, §4.7].…”

Section: Maximum Multicast Throughput (Mmt) Policymentioning

confidence: 90%

In-Network Congestion Control for Multirate Multicast

Paschos

Modiano

et al. 2016

IEEE/ACM Trans. Networking

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“…Veronica Sentongo et al, [13] have proposed a cross-layer approach for improving end-user delay and per-user throughput of voice over internet protocol when packets size are increasing. Rafael Laufer et al, [14] have proposed Cross-Layer backpressure architecture for handling multihop networks by using TDMA MAC Protocol. David Espes et al, [15] have proposed a cross-layer routing protocol (PLOSA) to offer a high delivery rate, a low end-to-end delay & a low energy consumption.…”

Section: Existing Cross Layer Design Approachmentioning

confidence: 99%

IQOS: A Cross Layer Design Approach for Improve Quality of Service in Wireless Sensor Networks

Saini¹,

Ritika²

2017

IJAST

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“…Backpressure has been implemented over sensor networks [22] and wireless multi-hop networks [23]. The multi-receiver diversity has been explored in wireless networks using backpressure in [24].…”

Section: Related Workmentioning

confidence: 99%

TCP-Aware Backpressure Routing and Scheduling

Seferoğlu

Modiano

2016

IEEE Trans. on Mobile Comput.

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Abstract-In this work, we explore the performance of backpressure routing and scheduling for TCP flows over wireless networks. TCP and backpressure are not compatible due to a mismatch between the congestion control mechanism of TCP and the queue size based routing and scheduling of the backpressure framework. We propose a TCP-aware backpressure routing and scheduling that takes into account the behavior of TCP flows. TCP-aware backpressure (i) provides throughput optimality guarantees in the Lyapunov optimization framework, (ii) gracefully combines TCP and backpressure without making any changes to the TCP protocol, (iii) improves the throughput of TCP flows significantly, and (iv) provides fairness across competing TCP flows.

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A Cross-Layer Backpressure Architecture for Wireless Multihop Networks

Cited by 51 publications

References 25 publications

In-Network Congestion Control for Multirate Multicast

In-Network Congestion Control for Multirate Multicast

IQOS: A Cross Layer Design Approach for Improve Quality of Service in Wireless Sensor Networks

TCP-Aware Backpressure Routing and Scheduling

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