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

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:
1423133
负责人:
Wei Wang
金额:
$26.2万
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
项目状态:
已结题
起止时间:
2014-10-01 至 2014-10-31

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中文摘要
翻译
多媒体内容分发成为当今无线通信网络中的主要业务。与此同时,电池能量限制成为移动计算设备的主要制约因素。该项目探索解决方案,以弥合高层流量密集型多媒体应用和低层节能无线通信协议之间的根本差距。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值信息中识别关键的位置信息,并减少关于位置和值差异的通信网络中的能量消耗。该项目的目标是建立一种新的能量质量优化的无线多媒体通信框架,利用自然数字图像和视频中的位置-值多样性。研究目的是验证无线多媒体通信中基于位置的跨层资源分配可以提高能量效率的假设。该方案由三个基本部分组成:(1)适用于各种图像和视频压缩格式的统一的高层位置-值分离方法;(2)基于位置的能量高效的低层资源分配算法,以非均匀地分配通信资源;(3)低层以数据为中心的无线中继协议,以高效地传输多媒体能量。通过该项目开发的算法和协议为设计节能的无线多媒体通信系统提供了新的见解。该项目还将研究成果纳入相关的本科生和研究生课程以及美洲原住民少数民族学生咨询。
英文摘要
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.
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