NeTS: Medium: AC-MWN: A Novel Architecture for Application-Aware Cognitive Multihop Wireless Networks

NeTS：媒介：AC-MWN：应用感知认知多跳无线网络的新颖架构

• 批准号: 1065069
• 负责人: Yi Qian
• 金额: $ 44万
• 依托单位: University of Nebraska-Lincoln
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-08-01 至 2015-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1065069&HistoricalAwards=false
• 关键词: NeTS; Medium; AC; MWN; Novel

Given the recent upward trend in wireless traffic, capacity demand increases faster than spectral efficiency and availability. However, it has been well-known that in wireless communications, some of the spectra are significantly under-utilized. This fact has attracted researchers from academia and industry who are interested in the next generation of cognitive radio communication systems. Despite the tremendous ongoing efforts on this research topic, there is a huge gap between the research on cognitive radios and the network applications. This project exploits a novel wireless networking paradigm called Application-Aware Cognitive Multihop Wireless Networks (AC-MWN). This architecture includes a mega network layer for multihop wireless networks, which combines the major functionalities of medium access control, network and transport layers in the traditional layered model of wireless networks. The mega network layer has cognition to the spectrum availability and to the requirements of the network applications. Additionally, the new design can efficiently utilize the spectrum resources and effectively adjust the application resources, such as storage and computational capabilities. While AC-MWN accommodates the requirements of different network applications, it also can drive the capacity closer to the upper theoretical limit for MWNs. Therefore, this architecture satisfies the requirements of application-aware cognitive multihop wireless networks. The AC-MWN research effort will have a significant impact on the better understanding of the designs for future cognitive multihop wireless networks and provide improvements for many application domains, including public safety, disaster rescues, environmental monitoring, and medical applications.

鉴于最近无线流量的上升趋势，容量需求的增长速度快于频谱效率和可用性的增长速度。然而，众所周知，在无线通信中，某些频谱的利用率明显不足。这一事实吸引了对下一代认知无线电通信系统感兴趣的学术界和工业界研究人员。尽管在这一研究课题上付出了巨大的努力，但认知无线电的研究和网络应用之间仍然存在巨大的差距。该项目利用了一种称为应用感知认知多跳无线网络（AC-MWN）的新型无线网络范例。该架构包括用于多跳无线网络的巨型网络层，它结合了传统无线网络分层模型中媒体访问控制、网络和传输层的主要功能。巨型网络层了解频谱可用性和网络应用的要求。此外，新设计可以有效利用频谱资源，并有效调整应用资源，例如存储和计算能力。 AC-MWN在满足不同网络应用需求的同时，也可以推动容量接近MWN的理论上限。因此，该架构满足应用感知认知多跳无线网络的要求。 AC-MWN 研究工作将对更好地理解未来认知多跳无线网络的设计产生重大影响，并为许多应用领域提供改进，包括公共安全、灾难救援、环境监测和医疗应用。