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NEDG: Efficient Design and Control of Heterogeneous Mobile Networks: Beyond Poisson Regime

NEDG: Efficient Design and Control of Heterogeneous Mobile Networks: Beyond Poisson Regime
NEDG:异构移动网络的高效设计和控制:超越泊松法则
批准号:
0831825
负责人:
Do Young Eun
金额:
$29.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2008
资助国家:
美国
项目状态:
已结题
起止时间:
2008-09-01 至 2013-08-31

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中文摘要
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英文摘要
Mobility is central to various applications, from the classicalproblems of searching for a moving target and rescue mission inmilitary and disaster settings, to deploying mobile ad-hoc/sensornetworks for surveillance and data communication over hostileterrain and underwater. While the random mobility pattern of nodes inthese networks has been considered as the main source of uncertainty anddisruption of communication links, it can also facilitate reliable andpredictable performance, if properly controlled and actively exploited.Most existing approaches have taken advantage of nodes' mobility only aspassive vehicles for data forwarding upon contact by chance, with anover-simplifying assumption that every pair of nodes is making contactswith each other according to a Poisson process, which is recentlycontradicted by empirically observed non-Poisson nature with high degreeof heterogeneity in various mobile networks.The long-term goal of this research is to develop a unified methodologyfor efficient protocol design and control of nodes in heterogeneousmobile ad-hoc networks and delay/disruption-tolerant networks undernon-Poisson contacts. The goal further extends to the use of mobilenodes with controllable mobility that can autonomously exploit thechanging diversity. The broader impact of this research lies in itsinterdisciplinary nature in addressing the analysis and design ofalgorithms running on mobility with heterogeneous non-Poisson contacts,which is also central to other scientific areas such as epidemiology,foraging ecology and biology, all driven by contacts among livingorganisms. This tight relationship between mobile ad-hoc networksand various phenomena in nature will serve as a vivid example forundergraduate students at a freshmen level or even to general public.
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Collaborative Research: CNS Core: Small: Closing the Theory-Practice Gap in Understanding and Combating Epidemic Spreading on Resource-Constrained Large-Scale Networks
  • 批准号:
    2007423
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2020
  • 负责人:
    Do Young Eun
  • 依托单位:
III: Small: Collaborative Research: Cost-Efficient Sampling and Estimation from Large-Scale Networks
  • 批准号:
    1910749
  • 项目类别:
    Standard Grant
  • 资助金额:
    $25.0万
  • 财政年份:
    2019
  • 负责人:
    Do Young Eun
  • 依托单位:
NeTS: Small: Distributed and Efficient Randomized Algorithms for Large Networks
  • 批准号:
    1217341
  • 项目类别:
    Standard Grant
  • 资助金额:
    $36.69万
  • 财政年份:
    2012
  • 负责人:
    Do Young Eun
  • 依托单位:
TF-SING: A Theoretical Foundation of Spatio-Temporal Mobility Modeling and Induced Link-Level Dynamics
  • 批准号:
    0830680
  • 项目类别:
    Standard Grant
  • 资助金额:
    $27.0万
  • 财政年份:
    2008
  • 负责人:
    Do Young Eun
  • 依托单位:
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