NeTS: Small: Collaborative Research: Cross Layer Exploration of Position-Value Diversity for Energy Constrained Wireless Multimedia Resource Allocation

NeTS：小型：协作研究：能量受限无线多媒体资源分配的位置值多样性的跨层探索

• 批准号: 1423192
• 负责人: Kazem Sohraby
• 金额: $ 19.67万
• 依托单位: South Dakota School of Mines and Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-10-01 至 2017-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1423192&HistoricalAwards=false
• 关键词: NeTS; Small; Collaborative; Research; Cross

Multimedia content distribution nowadays becomes the dominating traffic in wireless communication networks. In the meanwhile, battery energy limitation becomes the primary constraint of mobile computing devices. This project explores solutions to bridge the fundamental gap between higher layer traffic-intensive multimedia applications and lower layer energy efficient wireless communication protocols. In particular, this project investigates new cross layer approaches to identify crucial position information from unimportant value information in multimedia and to reduce energy consumption in communication networks with regards to position and value differences. The goal of this project is to establish a new energy-quality optimized framework for wireless multimedia communications that takes advantage of position-value diversity in natural digital images and videos. The research objective is to test the hypothesis that position-based cross-layer resource allocation can improve energy efficiency in wireless multimedia communications. The project consists of three essential components: (1) a unified higher layer position-value separation methodology for various image and video compression formats, (2) energy efficient position-based lower layer resource allocation algorithms to allocate communication resource unequally, and (3) lower layer data-centric wireless relay protocols to transmit multimedia energy efficiently. The algorithms and protocols developed through this project casts new insights on designing energy efficient wireless multimedia communication systems. This project also integrates research findings into related undergraduate and graduate courses and Native American minority student advising.

如今，多媒体内容分布成为无线通信网络中的主要流量。同时，电池能量限制成为移动计算设备的主要限制。该项目探讨了解决方案，以弥合高层交通密集型多媒体应用与较低层能源效率无线通信协议之间的基本差距。特别是，该项目研究了新的跨层方法，以从多媒体中的不重要的价值信息中识别重要的位置信息，并在位置和价值差异方面减少通信网络中的能源消耗。 该项目的目的是为无线多媒体通信建立一个新的能量质量优化框架，以利用自然数字图像和视频中的位置值多样性。研究目标是检验以下假设：基于位置的跨层资源分配可以提高无线多媒体通信的能源效率。该项目由三个基本组成部分组成：（1）针对各种图像和视频压缩格式的统一的高层位置分离方法，（2）基于能源有效位置的下层较低层资源分配算法，以分配通信资源不公平，以及（3）较低的层中心数据中心无线无关协议以传递多层能源能效率。通过该项目制定的算法和协议对设计能源有效的无线多媒体通信系统的新见解。该项目还将研究结果纳入相关的本科和研究生课程以及美国原住民少数民族学生建议。