Collaborative: Design of Adaptable Dynamic Wireless Network Architectures Using Intelligent Agents
协作:使用智能代理设计自适应动态无线网络架构
基本信息
- 批准号:9804104
- 负责人:
- 金额:$ 13.1万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:1998
- 资助国家:美国
- 起止时间:1998-07-01 至 2002-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project deals with the design of highly mobile wireless systems where not only end-users are mobile, but also the base stations that serve these end-users are mobile. The mobility of base stations introduces several challenging problems in the design and development of such systems. In this project, highly mobile wireless architectures with capability for intelligent survivability and adaptive connectivity in an unpredictable environments will be researched. Contributions will be made to the foundation of intelligent highly mobile wireless network and computing systems design, including network architecture, digital information storage, intelligent distributed adaptive reconfiguration, network routing, location management, channel allocation, and information security. Intelligent agents capable of taking autonomous decisions under uncertainty and approximate knowledge, capable of adapting to changing operating conditions (low bandwidth, changing topology and connectivity, and node failures and mobility, etc.) will be researched. An architecture and a set of relevant protocols will be designed and tested on a simulation testbed. An extensive performance evaluation and prediction will be conducted to evaluate, predict, and optimize the performance of the developed architectures, protocols, and algorithms.
本项目涉及高度移动的无线系统的设计,其中不仅终端用户是移动的,而且为这些终端用户服务的基站也是移动的。基站的移动性在这种系统的设计和开发中引入了几个具有挑战性的问题。在这个项目中,高度移动的无线架构的智能生存能力和自适应连接能力在不可预测的环境将被研究。将作出贡献的智能高度移动的无线网络和计算系统设计的基础,包括网络体系结构,数字信息存储,智能分布式自适应重构,网络路由,位置管理,信道分配和信息安全。智能代理能够在不确定性和近似知识下做出自主决策,能够适应不断变化的操作条件(低带宽,不断变化的拓扑和连接,以及节点故障和移动性等)。将被研究。一个架构和一套相关的协议将被设计和测试的仿真试验台。将进行广泛的性能评估和预测,以评估,预测和优化所开发的架构,协议和算法的性能。
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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Mukesh Singhal其他文献
A class of deadlock-free Maekawa-type algorithms for mutual exclusion in distributed systems
- DOI:
10.1007/bf01798960 - 发表时间:
1991-09-01 - 期刊:
- 影响因子:2.100
- 作者:
Mukesh Singhal - 通讯作者:
Mukesh Singhal
Adversarial Label-Poisoning Attacks and Defense for General Multi-Class Models Based on Synthetic Reduced Nearest Neighbor
基于合成约简最近邻的通用多类模型的对抗性标签中毒攻击与防御
- DOI:
10.1109/icip46576.2022.9897807 - 发表时间:
2022 - 期刊:
- 影响因子:0
- 作者:
Pooya Tavallali;Vahid Behzadan;A. Alizadeh;A. Ranganath;Mukesh Singhal - 通讯作者:
Mukesh Singhal
Route optimization in mobile ATM networks
- DOI:
10.1023/a:1019124731931 - 发表时间:
1998-08-01 - 期刊:
- 影响因子:2.000
- 作者:
Gopal Dommety;Malathi Veeraraghavan;Mukesh Singhal - 通讯作者:
Mukesh Singhal
An efficient routing algorithm to preserve $$k$$ -coverage in wireless sensor networks
- DOI:
10.1007/s11227-013-1054-0 - 发表时间:
2013-12-05 - 期刊:
- 影响因子:2.700
- 作者:
Ali Ahmadi;Mohammad Shojafar;Seyede Fatemeh Hajeforosh;Mehdi Dehghan;Mukesh Singhal - 通讯作者:
Mukesh Singhal
Decentralized semaphore support in a virtual shared-memory system
- DOI:
10.1007/bf01245397 - 发表时间:
1995-03-01 - 期刊:
- 影响因子:2.700
- 作者:
Mahendra Ramachandran;Mukesh Singhal - 通讯作者:
Mukesh Singhal
Mukesh Singhal的其他文献
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{{ truncateString('Mukesh Singhal', 18)}}的其他基金
Collaborative Research: Secure Information Sharing in Internet-Based Collaborative Applications
协作研究:基于互联网的协作应用程序中的安全信息共享
- 批准号:
0242384 - 财政年份:2003
- 资助金额:
$ 13.1万 - 项目类别:
Continuing Grant
ITR Collaborative Research: Pervasively Secure Infrastructures (PSI): Integrating Smart Sensing, Data Mining, Pervasive Networking, and Community Computing.
ITR 协作研究:普遍安全基础设施 (PSI):集成智能传感、数据挖掘、普遍网络和社区计算。
- 批准号:
0324836 - 财政年份:2003
- 资助金额:
$ 13.1万 - 项目类别:
Continuing Grant
Collaborative: Design of Adaptable Dynamic Wireless Network Architectures Using Intelligent Agents
协作:使用智能代理设计自适应动态无线网络架构
- 批准号:
0296196 - 财政年份:2001
- 资助金额:
$ 13.1万 - 项目类别:
Standard Grant
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