Integrated Communication and Signal Processing for Wireless Sensor and Ad Hoc Networks

无线传感器和自组织网络的集成通信和信号处理

基本信息

  • 批准号:
    0501534
  • 负责人:
  • 金额:
    $ 23.98万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
    Standard Grant
  • 财政年份:
    2005
  • 资助国家:
    美国
  • 起止时间:
    2005-05-01 至 2009-04-30
  • 项目状态:
    已结题

项目摘要

Integrated Communication and Signal Processing for Wireless Sensor and Ad Hoc NetworksThis integrative systems proposal focuses on the design of distributed sensor networks through an integrated communication and signal processing approach. Driven by the fundamental information processing inequality, we propose a new paradigm where the information transmission and processing are to be cohesively designed. Compared with the conventional separation approach, this proposed approach is both resource-efficient and superior in performance. Therefore, it is particularly suitable for resource and delay constrained sensor networks applications where all sensor nodes are engaged in a collective inference task.Catering toward inference-centric sensor network applications, we will develop distributed joint source-channel coding algorithms that are superior in performance compared with the separation approach under stringent resource and delay constraints. In the absence of channel information, we offer a proactive signal processing design approach using the multiple description code idea. This distributed multiple description signaling scheme provides an intelligent and resource efficient way to exploit the source correlation at different sensor nodes and is robust to potential channel failures.The broad impacts of the proposed project are multi-faceted. Both graduate and undergraduate students will be actively engaged in the proposed research activities. While graduate students will play an integral role of the proposed research, undergraduate students will also be actively involved in well-structured research activities related to the proposed work. Exposure in carefully designed creative projects will help the students foster their long lasting enthusiasm in scientific research activities. Finally, the dissemination of the research results will be pursued through various educational initiatives, including new curriculum development.
无线传感器和Ad Hoc网络的集成通信和信号处理该集成系统提案侧重于通过集成通信和信号处理方法设计分布式传感器网络。在基本信息处理不等式的驱动下,我们提出了一种新的范式,在这种范式中,信息的传输和处理是内聚设计的。与传统的分离方法相比,该方法既节省了资源,又具有上级性能。因此,它是特别适合于资源和延迟受限的传感器网络的应用程序中,所有的传感器节点都在一个集体的推理task.Catering面向推理为中心的传感器网络的应用程序,我们将开发分布式联合信源信道编码算法是上级的性能相比,分离的方法在严格的资源和延迟约束。在信道信息的情况下,我们提供了一个积极的信号处理设计方法,使用多描述码的想法。这种分布式多描述信令方案提供了一种智能和资源有效的方式来利用不同传感器节点的源相关性,并对潜在的信道故障具有鲁棒性。研究生和本科生都将积极参与拟议的研究活动。虽然研究生将在拟议的研究中发挥不可或缺的作用,但本科生也将积极参与与拟议工作相关的结构良好的研究活动。在精心设计的创造性项目中的曝光将有助于学生培养他们在科学研究活动中持久的热情。最后,将通过各种教育举措,包括制定新的课程,传播研究成果。

项目成果

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会议论文数量(0)
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Biao Chen其他文献

Neutrino Mixing in the BLMSSM
BLMSSM 中的中微子混合
Juvenile granulosa cell tumor in pregnancy: case series and literature review
妊娠期幼年型颗粒细胞瘤:病例系列和文献综述
  • DOI:
    10.1007/s00404-021-06283-5
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    2.6
  • 作者:
    Elijah Ndhlovu;Huiyang Deng;Jun Dai;Xiyuan Dong;Lili Liu;Biao Chen
  • 通讯作者:
    Biao Chen
The effects of levofloxacin on rabbit fibroblast-like synoviocytes in vitro
左氧氟沙星对体外兔成纤维样滑膜细胞的影响
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    3.8
  • 作者:
    Yang Tan;Kaihang Lu;Yu Deng;Hong Cao;Biao Chen;Hui Wang;Jacques Magdalou;Liaobin Chen
  • 通讯作者:
    Liaobin Chen
Isorhynchophylline ameliorates the progression of osteoarthritis by inhibiting the NF-κB pathway
异钩藤碱通过抑制 NF-κB 通路改善骨关节炎的进展
  • DOI:
    10.1016/j.ejphar.2022.174971
  • 发表时间:
    2022
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Zhenyu Li;Huasong Shi;Yanmei Li;Wang Wang;Zhexi Li;Biao Chen;Daibang Nie
  • 通讯作者:
    Daibang Nie
Optimal investment and financing with a bank-tax-interaction
银税互动优化投融资
  • DOI:
    10.1016/j.frl.2019.08.030
  • 发表时间:
    2020-07
  • 期刊:
  • 影响因子:
    10.4
  • 作者:
    Biao Chen;Jinqiang Yang
  • 通讯作者:
    Jinqiang Yang

Biao Chen的其他文献

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{{ truncateString('Biao Chen', 18)}}的其他基金

Seeing the Unseen: Passive RF Sensing via Learning
看到看不见的东西:通过学习进行无源射频传感
  • 批准号:
    2036236
  • 财政年份:
    2021
  • 资助金额:
    $ 23.98万
  • 项目类别:
    Standard Grant
EAGER:SC2: Collaborative Intelligent Radio Network Design For Cooperative Spectrum Sharing
EAGER:SC2:用于协作频谱共享的协作智能无线电网络设计
  • 批准号:
    1737934
  • 财政年份:
    2017
  • 资助金额:
    $ 23.98万
  • 项目类别:
    Standard Grant
SpecEES: Collaborative Research: Energy Efficient Dynamic Spectrum Access in Uncoordinated Networks
SpecEES:协作研究:不协调网络中的节能动态频谱接入
  • 批准号:
    1731237
  • 财政年份:
    2017
  • 资助金额:
    $ 23.98万
  • 项目类别:
    Standard Grant
CIF: Small: Data Reduction for Networked Inference
CIF:小:网络推理的数据缩减
  • 批准号:
    1218289
  • 财政年份:
    2012
  • 资助金额:
    $ 23.98万
  • 项目类别:
    Standard Grant
CIF:Medium:Collaborative Research: Understanding and Managing Interference in Communication Networks
CIF:中:协作研究:理解和管理通信网络中的干扰
  • 批准号:
    0905320
  • 财政年份:
    2009
  • 资助金额:
    $ 23.98万
  • 项目类别:
    Standard Grant
A Unifying Framework for Distributed Inference in Networked Systems
网络系统中分布式推理的统一框架
  • 批准号:
    0925854
  • 财政年份:
    2009
  • 资助金额:
    $ 23.98万
  • 项目类别:
    Standard Grant
CAREER: Aspiring for Spectrum Freedom Through MIMO Overlay Transmission
职业:通过 MIMO 叠加传输追求频谱自由
  • 批准号:
    0546491
  • 财政年份:
    2006
  • 资助金额:
    $ 23.98万
  • 项目类别:
    Continuing Grant

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A RadBackCom Approach to Integrated Sensing and Communication: Waveform Design and Receiver Signal Processing
RadBackCom 集成传感和通信方法:波形设计和接收器信号处理
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用于下一代超宽带通信网络的先进信号生成和检测系统
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