HBCU-UP RIA: Analytical Studies of Multihop Wireless Networks with the Log-normal Shadowing Model

HBCU-UP RIA：使用对数正态阴影模型的多跳无线网络分析研究

• 批准号: 1238704
• 负责人: Lixin Wang
• 金额: $ 16.23万
• 依托单位: Paine College
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-09-01 至 2015-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1238704&HistoricalAwards=false
• 关键词: HBCU; UP; RIA; Analytical; Studies

This project will conduct analytical studies on multi-hop wireless networks under a realistic shadowing model with an important boundary effect taken into consideration. The project will investigate the critical transmission power required for each node to ensure that the network is connected asymptotically almost surely under a shadowing model, and explore the relation between the probability that the network is connected and the probability that the network has no isolated nodes. The impact of radio irregularity on network connectivity and radio interference in practical multihop wireless networks under the shadowing model will be examined. The ultimate goal of this project is to make significant improvements for research and education in computer science at Paine College and increase the participation of African American undergraduate students in computer science research.The rapid proliferation of mobile and wireless devices provides an excellent opportunity for theoretic research in the wireless networking area. The log-normal shadowing model is a realistic radio propagation model which has been widely used. The important boundary effect must be taken into consideration in any practical multihop wireless networks. Under such a shadowing model with the boundary effect included, little is known about connectivity of practical multihop wireless networks and the impact of radio irregularity on connectivity and interference. The results of this research will be of interest in areas such as throughput capacity, virtual backbone, topology control, routing protocols, information theory and networking. Multihop wireless networks are expected to play a key role in solving problems such as securing our homeland, protecting the infrastructure, monitoring conditions in the biosphere, or in the diagnosis and treatment of illnesses.

该项目将在逼真的阴影模型下对多跳线无线网络进行分析研究，并考虑到重要的边界效应。该项目将研究每个节点所需的关键传输功率，以确保网络在阴影模型下几乎可以肯定地渐近地连接，并探索网络连接的概率与网络没有隔离节点的概率之间的关系。将检查无线电不规则性对阴影模型下实用多台面无线网络网络连通性和无线电干扰的影响。该项目的最终目标是为潘恩学院的计算机科学研究和教育做出重大改进，并增加非裔美国人的本科生参与计算机科学研究。移动和无线设备的快速扩散为无线网络领域的理论研究提供了绝佳的机会。对数正态分子阴影模型是一个现实的无线电传播模型，已被广泛使用。必须在任何实用的多独立无线网络中考虑重要的边界效应。在具有边界效应的这样的阴影模型下，对实用多台面无线网络的连通性以及无线不规则性对连通性和干扰的影响知之甚少。这项研究的结果将在诸如吞吐量，虚拟骨干，拓扑控制，路由协议，信息理论和网络等领域中引起人们的关注。预计多IHOP无线网络将在解决问题，例如保护我们的家园，保护基础设施，监测生物圈中的状况或诊断和治疗疾病等问题中发挥关键作用。