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: 1743427
• 负责人: Kazem Sohraby
• 金额: $ 9.75万
• 依托单位: San Diego State University Foundation
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-11-01 至 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1743427&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，多媒体内容分发已成为无线通信网络中的主导流量。与此同时，电池能量限制成为移动计算设备的主要限制。该项目探索弥合较高层流量密集型多媒体应用与较低层节能无线通信协议之间根本差距的解决方案。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价值信息中识别关键位置信息，并减少通信网络中位置和价值差异方面的能耗。 该项目的目标是为无线多媒体通信建立一个新的能量质量优化框架，利用自然数字图像和视频中的位置值多样性。研究目的是测试基于位置的跨层资源分配可以提高无线多媒体通信中的能源效率的假设。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高层位置值分离方法，（2）节能的基于位置的低层资源分配算法，用于不平等地分配通信资源，以及（3） ）低层以数据为中心的无线中继协议，以有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整合到相关本科生和研究生课程以及美国原住民少数民族学生咨询中。