NeTS: Small: Transmit Only: Green Communication for Dense Wireless Systems

NeTS：小型：仅传输：密集无线系统的绿色通信

• 批准号: 1423020
• 负责人: Yanyong Zhang
• 金额: $ 49.86万
• 依托单位: Rutgers University New Brunswick
• 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 2019-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1423020&HistoricalAwards=false
• 关键词: NeTS; Small; Transmit; Only; Green

This proposal is targeted at realizing the vision of a "green'' Internet of Things (IoT) and green communication using transmit-only devices. It is predicted that by 2020, there will be 50 billion embedded devices deployed in our ambient environment, most of which will be reporting data to the cloud through wireless communication. Thus, it is imperative to design green communication technologies in which power consumption is minimized and bandwidth utilization is optimized. Existing communication protocols, however, are not optimized for power consumption and bandwidth utilization because they were designed to facilitate reliable two-way exchange of information between communicating parties -- their requirements are completely different from those of IoT applications. The needs of emerging IoT applications, such as unidirectional communication flow, dense deployment, small packet sizes, are all opportunities for significantly simplifying network design. This project aims to simplify the protocol design by removing receiving functions from the embedded devices, such that they only spend radio resources on sending application data, thus minimizing power consumption and maximizing bandwidth utilization.This project will study a set of algorithms that can achieve high throughput for wireless networks using transmit-only devices. The biggest challenge for a transmit-only network is the handling of packet collisions as the transmitters do not have any means of knowing whether others are transmitting at the same time. Transmit-only can be thought of as a single-input-multiple-output multiple access (SIMO-MAC) channel, but there is a fundamental difference between transmit-only and previous work in SIMO-MAC from the information theory community - in almost all of the previous studies, while transmitters do not communicate among themselves, they do rely on feedback from receivers to make transmission decisions related to encoding and/or scheduling. Transmit only, on the other hand, assumes once the network is deployed and in operation, each transmitter does not have any feedback from other transmitters or receivers. In this case, to reduce packet collisions, and to further ensure packet collisions do not lead to packet loss, this project proposes a set of strategies to pro-actively control the network topology as well as transmission schedules before network deployment. First, an optimal receiver placement strategy and a network dynamics based transmitter placement strategy are proposed to minimize the packet loss during a collision by exploiting the fact the stronger signal can be decoded at the receiver. Second, a transmission scheduling algorithm is proposed to overlap transmissions that can be decoded together (by different receivers) to minimize the collisions. The proposed scheduling algorithm also takes into consideration transmitter mobility to minimize their negative impact on the network throughput.

该提案旨在实现使用仅传输设备的“绿色”物联网(IoT)和绿色通信的愿景。据预测，到2020年，将有500亿台嵌入式设备部署在我们的周围环境中，其中大部分将通过无线通信向云报告数据。因此，设计功耗最小、带宽利用率最优的绿色通信技术势在必行。然而，现有的通信协议没有针对功耗和带宽利用进行优化，因为它们旨在促进通信方之间可靠的双向信息交换-它们的要求与物联网应用的要求完全不同。新兴物联网应用的需求，如单向通信流、密集部署、小数据包大小，都是显著简化网络设计的机会。该项目旨在通过去除嵌入式设备的接收功能来简化协议设计，使其只将无线资源用于发送应用数据，从而最大限度地降低功耗和最大化带宽利用率。本项目将研究一套算法，以实现使用仅发送设备的无线网络的高吞吐量。对于仅发送网络来说，最大的挑战是处理分组冲突，因为发送器无法知道其他发送器是否在同时发送。仅发送可以被认为是单输入多输出多址(SIMO-MAC)信道，但在SIMO-MAC中，仅发送与信息理论界以前的工作有根本的区别--在几乎所有以前的研究中，虽然发送器之间不通信，但它们确实依赖于来自接收器的反馈来做出与编码和/或调度相关的传输决策。另一方面，仅发送假设一旦网络部署并运行，每个发送器没有来自其他发送器或接收器的任何反馈。在这种情况下，为了减少分组冲突，并进一步确保分组冲突不会导致分组丢失，本项目提出了一套在网络部署之前主动控制网络拓扑以及传输调度的策略。首先，提出了一种基于网络动力学的最优接收器配置策略和一种基于网络动力学的发射器配置策略，通过利用较强信号可以在接收器处被解码这一事实来最小化冲突期间的分组丢失。其次，提出了一种传输调度算法，将可以(由不同接收者)一起解码的传输重叠在一起，以最小化冲突。所提出的调度算法还考虑了发射机的移动性，以最小化发射机对网络吞吐量的负面影响。