NeTS NOSS: Collaborative Research: Towards Robust and Self-Healing Heterogeneous Wireless Sensor Networks
NetS NOSS:协作研究:迈向稳健且自我修复的异构无线传感器网络
基本信息
- 批准号:0721907
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-09-01 至 2009-11-30
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Research has shown that Heterogeneous Sensor Networks (HSNs) can significantly improve the performance of sensor networks. To achieve better performance, we adopt an HSN model consisting of a small number of powerful high-end sensors (H-sensors) and a large number of low-end sensors (L-sensors). The objective of this project is to investigate innovative network architectures of HSNs, and develop energy-efficient, self-healing schemes and routing protocols for HSNs. We plan to build an integrated research and education program. The research components of the project consist of the following two parts: . Investigating efficient and robust network architectures of HSNs.We will investigate innovative network architectures for two different types of HSNs: HSNs where the locations of H-sensors are controllable and NOT controllable. We will determine the optimal density of H-sensors and L-sensors, and the optimal locations of H-sensors to minimize the cost of sensor nodes while ensuring a network lifetime and coverage requirement. We propose a novel Density-Varying-Deployment scheme for H-sensors. We will also design robust clustering schemes that can tolerate H-sensor failures and provide reliable network structures.. Designing self-healing and energy-efficient schemes and routing protocols for HSNs.The primary functionality of wireless sensor networks is to sense the environment and transmit the acquired information to a base station for further processing. Thus, routing is an essential operation in sensor networks. Typical sensor nodes are small, unreliable devices with limited energy supply. The routing protocols should be energy-efficient and robust to sensor failures, and be able to find new paths when nodes fail. By utilizing powerful H-sensors, we will design self-healing, energy-efficient routing protocols for HSNs which take into consideration of data fusion. The research is tightly coupled with an educational program that includes the following four themes, 1) Mentoring graduate and undergraduate students, and recruiting students of underrepresented groups in North Dakota and Tennessee to participate in the project. 2) Developing a new graduate course-Wireless Sensor Networks. 3) Field study of sensor networks. Sensor networks have been deployed in several farms in North Dakota for agricultural monitoring and several chemical/nuclear plants in Tennessee for hazard monitoring. We will take students to the farms and plants to study how to improve the performance of these real sensor networks by applying our research results. 4) Integrating research and education together by setting up a Heterogeneous Sensor Network Lab. The Intellectual Merits include:1) In this research, we will develop innovative network architectures for two different kinds of HSNs, i.e., the locations of H-sensors are controllable or not. 2) We will design energy-efficient and self-healing routing protocols for HSNs, which are robust to node failures and prolong network lifetime. The Broader Impacts are:Recruiting students of underrepresented groups, including female, low incoming, first generation, Native American, and African American students in North Dakota
研究表明,异构传感器网络(HSNs)可以显著提高传感器网络的性能。为了获得更好的性能,我们采用了一种由少量功能强大的高端传感器(h传感器)和大量低端传感器(l传感器)组成的HSN模型。该项目的目标是研究hsn的创新网络架构,并为hsn开发节能、自修复方案和路由协议。我们计划建立一个综合研究和教育项目。本课题的研究内容包括以下两部分:。研究高效、稳健的hsn网络架构。我们将研究两种不同类型hsn的创新网络架构:h传感器位置可控和不可控的hsn。我们将确定h -传感器和l -传感器的最佳密度,以及h -传感器的最佳位置,以最小化传感器节点的成本,同时确保网络寿命和覆盖要求。我们提出了一种新的密度变化部署方案。我们还将设计健壮的集群方案,可以容忍h传感器故障并提供可靠的网络结构。设计自修复和节能方案和路由协议的hsn。无线传感器网络的主要功能是感知环境并将获取的信息传输到基站进行进一步处理。因此,路由是传感器网络中必不可少的操作。典型的传感器节点都是小而不可靠的设备,能量供应有限。路由协议应该具有高能效和对传感器故障的鲁棒性,并且能够在节点故障时找到新的路径。通过利用强大的h传感器,我们将为考虑数据融合的hsn设计自修复、节能的路由协议。该研究与一个教育项目紧密结合,该项目包括以下四个主题:1)指导研究生和本科生,招募北达科他州和田纳西州代表性不足群体的学生参与该项目。2)开设新的研究生课程——无线传感器网络。3)传感器网络的实地研究。在北达科他州的几个农场部署了传感器网络用于农业监测,在田纳西州的几个化学/核电站部署了传感器网络用于危害监测。我们将带学生到农场和工厂,研究如何通过应用我们的研究成果来提高这些真实传感器网络的性能。4)建立异构传感器网络实验室,将科研与教学相结合。该研究的智力优势包括:1)在本研究中,我们将针对两种不同类型的hsn,即h传感器的位置是可控的或不可控的,开发创新的网络架构。2)我们将为hsn设计节能且自愈的路由协议,该协议对节点故障具有鲁棒性,并延长网络寿命。更广泛的影响是:招收代表性不足的群体的学生,包括北达科他州的女性、低收入群体、第一代、美洲原住民和非洲裔美国学生
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Xiaojiang Du其他文献
Towards Delay-Tolerant Flexible Data Access Control for Smart Grid with Renewable Energy Resource
可再生能源智能电网的延迟容忍灵活数据访问控制
- DOI:
10.1109/tii.2017.2706760 - 发表时间:
2017 - 期刊:
- 影响因子:12.3
- 作者:
Zhitao Guan;Jing Li;Liehuang Zhu;Zijian Zhang;Xiaojiang Du;Mohsen Guizani - 通讯作者:
Mohsen Guizani
Using Bloom Filter to Generate a Physiological Signal based Key for Wireless Body Area Networks
使用布隆过滤器为无线体域网生成基于生理信号的密钥
- DOI:
10.1109/jiot.2019.2939144 - 发表时间:
2019 - 期刊:
- 影响因子:10.6
- 作者:
Xuanxia Yao;Wanyou Liao;Xiaojiang Du;Xuepeng Cheng;Mohsen Guizani - 通讯作者:
Mohsen Guizani
Malware on Internet of UAVs Detection Combining String Matching and Fourier Transformation
字符串匹配与傅里叶变换相结合的无人机互联网恶意软件检测
- DOI:
10.1109/jiot.2020.3029970 - 发表时间:
2021-06 - 期刊:
- 影响因子:10.6
- 作者:
Weina Niu;Jian'An Xiao;Xiyue Zhang;Xiaosong Zhang;Xiaojiang Du;Xiaoming Huang;Mohsen Guizani - 通讯作者:
Mohsen Guizani
IoT root union: A decentralized name resolving system for IoT based on blockchain
物联网根联盟:基于区块链的物联网去中心化名称解析系统
- DOI:
10.1016/j.ipm.2021.102553 - 发表时间:
2021 - 期刊:
- 影响因子:8.6
- 作者:
Shen Su;Zhihong Tian;Shuang Li;Jinxi Deng;Lihua Yin;Xiaojiang Du;Mohsen Guizani - 通讯作者:
Mohsen Guizani
QoS provision for vehicle big data by parallel transmission based on heterogeneous network characteristics prediction
基于异构网络特性预测的车辆大数据并行传输QoS保障
- DOI:
10.1016/j.jpdc.2022.01.018 - 发表时间:
2022-02 - 期刊:
- 影响因子:3.8
- 作者:
Wenxuan Qiao;Ping Dong;Xiaojiang Du;Yuyang Zhang;Hongke Zhang;Mohsen Guizani - 通讯作者:
Mohsen Guizani
Xiaojiang Du的其他文献
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{{ truncateString('Xiaojiang Du', 18)}}的其他基金
Collaborative Research: CNS Core: Medium: Towards Understanding and Handling Problems Due to Coexistence of Multiple IoT Platforms
合作研究:CNS核心:媒介:理解和处理多个物联网平台共存带来的问题
- 批准号:
2106978 - 财政年份:2021
- 资助金额:
-- - 项目类别:
Standard Grant
CCRI: Medium: Collaborative Research: Hardware-in-the-Loop and Remotely-Accessible/Configurable/Programmable Internet of Things (IoT) Testbeds
CCRI:媒介:协作研究:硬件在环和远程访问/可配置/可编程物联网 (IoT) 测试平台
- 批准号:
2204785 - 财政年份:2021
- 资助金额:
-- - 项目类别:
Standard Grant
Collaborative Research: CNS Core: Medium: Towards Understanding and Handling Problems Due to Coexistence of Multiple IoT Platforms
合作研究:CNS核心:媒介:理解和处理多个物联网平台共存带来的问题
- 批准号:
2205868 - 财政年份:2021
- 资助金额:
-- - 项目类别:
Standard Grant
CCRI: Medium: Collaborative Research: Hardware-in-the-Loop and Remotely-Accessible/Configurable/Programmable Internet of Things (IoT) Testbeds
CCRI:媒介:协作研究:硬件在环和远程访问/可配置/可编程物联网 (IoT) 测试平台
- 批准号:
2016589 - 财政年份:2020
- 资助金额:
-- - 项目类别:
Standard Grant
I-Corps: Commercialization Feasibility Research and Demonstration Preparation for Increasing Cognitive Femtocell Network Capacity
I-Corps:提高认知型 Femtocell 网络容量的商业化可行性研究和示范准备
- 批准号:
1355268 - 财政年份:2013
- 资助金额:
-- - 项目类别:
Standard Grant
CRI: A Heterogeneous Sensor Network Laboratory for Integrated Research and Education
CRI:用于综合研究和教育的异构传感器网络实验室
- 批准号:
1002974 - 财政年份:2009
- 资助金额:
-- - 项目类别:
Continuing Grant
NeTS NOSS: Collaborative Research: Towards Robust and Self-Healing Heterogeneous Wireless Sensor Networks
NetS NOSS:协作研究:迈向稳健且自我修复的异构无线传感器网络
- 批准号:
0963578 - 财政年份:2009
- 资助金额:
-- - 项目类别:
Continuing Grant
MRI: Development of a Hybrid Wireless Network Infrastructure for Integrated Research and Education
MRI:开发用于综合研究和教育的混合无线网络基础设施
- 批准号:
1022552 - 财政年份:2009
- 资助金额:
-- - 项目类别:
Standard Grant
MRI: Development of a Hybrid Wireless Network Infrastructure for Integrated Research and Education
MRI:开发用于综合研究和教育的混合无线网络基础设施
- 批准号:
0923188 - 财政年份:2009
- 资助金额:
-- - 项目类别:
Standard Grant
CRI: A Heterogeneous Sensor Network Laboratory for Integrated Research and Education
CRI:用于综合研究和教育的异构传感器网络实验室
- 批准号:
0709268 - 财政年份:2007
- 资助金额:
-- - 项目类别:
Standard Grant
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相似海外基金
NeTS NOSS: Collaborative Research: Towards Robust and Self-Healing Heterogeneous Wireless Sensor Networks
NetS NOSS:协作研究:迈向稳健且自我修复的异构无线传感器网络
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0963578 - 财政年份:2009
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Continuing Grant
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0846081 - 财政年份:2008
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Collaborative Research NeTS-NOSS: SEA-Swarm: A Rapidly Deployable Underwater Sensor Network
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0722046 - 财政年份:2007
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Collaborative Research-NeTS-NOSS: AutoNomouS netWorked sEnsoR systems (ANSWER)
协作研究-NETS-NOSS:自主网络传感器系统(答案)
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0721523 - 财政年份:2007
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NeTS-NOSS: Collaborative Research: Energy-Efficient Distributed Sensor Network Control: Theory to Implementation
NetS-NOSS:协作研究:节能分布式传感器网络控制:理论到实现
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NetS-NOSS:合作研究:LEAPNET:自适应全地形传感器网络
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0721516 - 财政年份:2007
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NeTS NOSS: Collaborative Research: Towards Robust and Self-Healing Heterogeneous Wireless Sensor Networks
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NeTS-NOSS: Collaborative Research: The BehaviorScope Project: Sensory Grammars for Sensor Networks
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0721632 - 财政年份:2007
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