Mobility increases the capacity of ad hoc wireless networks

Grossglauser, Matthias; Tse, David

doi:10.1109/tnet.2002.801403

Cited by 2,114 publications

(859 citation statements)

References 10 publications

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“…This demonstrates that mobility increases the achievable capacity as long as the scheduling discipline is left flexible, which agrees with findings in the context of ad hoc mobile networks (Grossglauser & Tse 2002). However, this does not imply that mobility increases the capacity achieved by a given scheduling discipline, e.g.…”

Section: (I) No Mobilitysupporting

confidence: 87%

“…This applies not only to fast rate variations but also to mobility that occurs on a slower time scale and creates additional opportunities to serve users in the most favourable locations, which may be interpreted as a form of network-wide opportunistic scheduling. In this regard, the above observation resonates with the fact that mobility increases the capacity of ad hoc mobile networks (Grossglauser & Tse 2002). What is perhaps less obvious is that the performance and capacity improvements also arise in the case of fair sharing, e.g.…”

Section: Resultsmentioning

confidence: 87%

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Flow-level performance and user mobility in wireless data networks

Borst¹

2008

Phil. Trans. R. Soc. A.

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Channel conditions in wireless networks exhibit huge variations across space and time, giving rise to vast fluctuations in the transmission rates. Channel-aware scheduling strategies provide an effective mechanism for improving throughput performance by exploiting such rate variations, and these have been extensively examined at the packet level for a static user configuration. In this paper, we discuss the performance implications at the flow level for a dynamic user population, taking into account variations on a slower time scale and wide-range user mobility as well. First of all, we present simple necessary conditions for flow-level stability and prove that these are in fact (near) sufficient for a wide family of utility-based scheduling strategies. It is further shown how the flow-level performance of the proportional fair scheduling strategy may be evaluated by means of a processor-sharing model with a state-dependent service rate. In addition, we examine the impact of variations on a slower time scale, and establish that the so-called fluid and quasistationary regimes yield explicit, insensitive performance bounds. Finally, we turn our attention to a network of several base stations (BSs) with handoffs of active sessions governed by wide-range user mobility. It is demonstrated that mobility increases the capacity, not only in the case of globally optimal scheduling but also when each of the BSs adheres to a local fair-sharing discipline.

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Section: (I) No Mobilitysupporting

confidence: 87%

Section: Resultsmentioning

confidence: 87%

Flow-level performance and user mobility in wireless data networks

Borst¹

2008

Phil. Trans. R. Soc. A.

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“…Frequent topological changes introduce new challenges, including intermittent connectivity and increased data delivery delay. Although mobility requires high management overhead, it offers significant advantages over static WSN such as: energy efficiency [4], improved sensing/radio coverage [5], enhanced information fidelity [6], greater channel capacity [7] and reliable target tracking [8].…”

Section: Fig (1)mentioning

confidence: 99%

Unmanned Ground Vehicle for Data Collection in Wireless Sensor Networks: Mobility-aware Sink Selection

Aldabbas¹,

Abuarqoub²,

Hammoudeh³

et al. 2016

Open Autom. Control Syst. J.

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Abstract:Several recent studies have demonstrated the benefits of using the Wireless Sensor Network (WSN) technology in largescale monitoring applications, such as planetary exploration and battlefield surveillance. Sensor nodes generate continuous stream of data, which must be processed and delivered to end users in a timely manner. This is a very challenging task due to constraints in sensor node's hardware resources. Mobile Unmanned Ground Vehicles (UGV) has been put forward as a solution to increase network lifetime and to improve system's Quality of Service (QoS). UGV are mobile devices that can move closer to data sources to reduce the bridging distance to the sink. They gather and process sensory data before they transmit it over a long-range communication technology. In large-scale monitored physical environments, the deployment of multiple-UGV is essential to deliver consistent QoS across different parts of the network. However, data sink mobility causes intermittent connectivity and high reconnection overhead, which may introduce considerable data delivery delay. Consequently, frequent network reconfigurations in multiple data sink networks must be managed in an effective way. In this paper, we contribute an algorithm to allow nodes to choose between multiple available UGVs, with the primary objective of reducing the network reconfiguration and signalling overhead. This is realised by assigning each node to the mobile sink that offers the longest connectivity time. The proposed algorithm takes into account the UGV's mobility parameters, including its movement direction and velocity, to achieve longer connectivity period. Experimental results show that the proposed algorithm can reduce end-to-end delay and improve packet delivery ratio, while maintaining low sink discovery and handover overhead. When compared to its best rivals in the literature, the proposed approach improves the packet delivery ratio by up to 22%, end-to-end delay by up to 28%, energy consumption by up to 58%, and doubles the network lifetime.

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“…Following this work, extensive studies have been conducted to achieve a tighter capacity bound [2][3][4][5][6][7][8]. Franceschetti et al [2] apply percolation theory to obtain a per-node transmission rate higher than 1 ( ) n !…”

Section: W N N !mentioning

confidence: 99%

“…. Grossglauser and Tse [3] prove that network capacity can be increased with mobility of ad hoc nodes. They show that per-node transmission rate of ( ) W !…”

Section: W N N !mentioning

confidence: 99%

Capacity of Inhomogeneous Hybrid Wireless Networks in Three-Dimensional Space

Wu¹,

Zhu²,

Tian³

et al. 2015

Int. J. Onl. Eng.

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Abstract-Network capacity has been widely studied in recent years. However, most of the literatures focus on the networks where nodes are distributed in a two-dimensional space. In this paper, we propose a 3D hybrid sensor network model. By setting different sensor node distribution probabilities for cells, we divide all the cells in the network into dense cells and sparse cells. Analytical expressions of the aggregate throughput capacity are obtained. We also find that suitable inhomogeneity can increase the network throughput capacity.

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Mobility increases the capacity of ad hoc wireless networks

Cited by 2,114 publications

References 10 publications

Flow-level performance and user mobility in wireless data networks

Flow-level performance and user mobility in wireless data networks

Unmanned Ground Vehicle for Data Collection in Wireless Sensor Networks: Mobility-aware Sink Selection

Capacity of Inhomogeneous Hybrid Wireless Networks in Three-Dimensional Space

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