CIF: Small: An Analytical Framework for Comprehensive Study of Intermittently-Connected Mobile Ad-Hoc Networks

CIF：小型：间歇连接移动自组织网络综合研究的分析框架

• 批准号: 0914630
• 负责人: Faramarz Fekri
• 金额: $ 26.82万
• 依托单位: Georgia Tech Research Corporation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-01 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0914630&HistoricalAwards=false
• 关键词: CIF; Small; Analytical; Framework; Comprehensive

Intermittently-Connected Mobile Ad-hoc Networks (ICMANET) are one of the new areas in the field of wireless communication. Networks under this class are potentially deployed in challenged environments using isolated mobile devices with limited resources. They are emerging as a promising technology in applications such as in wildlife management, military surveillance, underwater networks, and vehicular networks. Recent focus on these networks has naturally generated efforts to analytically understand them. In contrast to conventional Mobile Ad-hoc Networks (MANETs), links on an end-to-end path in ICMANETs do not exist contemporaneously. This compounds the analysis of such networks. The research provides one of the first steps for performance modeling of ICMANETs. This is very crucial in the design of practical schemes targeted to offer good performance across different mobility scenarios.Most current analytical research employs simple mobility models such as the Poisson-contact model, which are unrealistic. Departing heavily from this trend, the investigator has developed performance analysis under the very general class of stationary mobility models. This paves the way to analytically understand the effect of mobility parameters on performance. In particular, the research answers questions of the following nature: What parameters of the mobility model affect ICMANETs performance? How does one extract the necessary information? The research objective is to develop novel approaches in performance modeling of ICMANETs, drawing out key ideas from Markov-chain- and queuing- theory. The research attempts to arrive at a novel framework which is capable of capturing key network characteristics under practical constraints such as finite bandwidth, random contact durations, and finite node buffers. Key performance measures such as throughput will be explored for various communication scenarios, routing protocols, network coding and buffer management schemes.

间歇连接的移动的自组织网络（ICMANET）是无线通信领域的一个新的研究方向。此类网络可能部署在使用资源有限的隔离移动的设备的挑战环境中。它们正在成为一种有前途的技术，应用于野生动物管理，军事监视，水下网络和车载网络。最近对这些网络的关注自然产生了分析理解它们的努力。与传统的移动的自组织网络（Ad hoc Network，MANN）相比，ICMANN中的端到端路径上的链路并不同时存在。这使得对此类网络的分析更加复杂。该研究为ICMANNETWORK的性能建模提供了第一步。这是非常重要的实际计划的设计，旨在提供良好的性能在不同的移动性scenaries.Most目前的分析研究采用简单的移动性模型，如泊松接触模型，这是不切实际的。严重背离这一趋势，调查员已经开发了性能分析下的非常一般的类固定的流动性模型。这为分析理解移动性参数对性能的影响铺平了道路。特别是，该研究回答了以下性质的问题：什么参数的移动模型影响ICMANMENTRITY的性能？如何提取必要的信息？ 研究的目标是开发新的方法，在性能建模的ICMANN，从马尔可夫链和排队论的关键思想。该研究试图达到一个新的框架，它是能够捕获的关键网络特性的实际约束条件下，如有限的带宽，随机接触时间，和有限的节点缓冲区。关键的性能指标，如吞吐量将探讨各种通信方案，路由协议，网络编码和缓冲区管理计划。