SGER: Scalable Cooperative Communications in Adaptive Large Scale Networks Inspired by Natural Swarms

Anna Scaglione康奈尔大学的电子设备变得更加可靠，可以在非常小的规模内进行集成。传感器与嵌入式智能相结合，满足了越来越多的应用。在本地收集和处理信息的价值取决于远程通信信息本身的能力。到目前为止发展的通信设备的规模和它们的用途不能满足大规模分布式、动态、能量受限的网络的要求。此外，物理层的大部分研究都集中在信道接入上。蜂窝网络和无线局域网的设计遵循了多年来对多址接入的研究发展起来的原则，这些网络的主干不是无线的，这显然使移动通信的研究朝着解决接入问题的方向两极分化。使用传统方法将大量这样的设备联网需要高昂的成本，这些成本很快就与网络的动态特性和每个节点的有限能力不相容。最近的结果还表明，随着节点密度的增加，即使在最好的多址和路由方案下，点对点通信也变得不可行。这一结果加强了设计范式转变的必要性，这也是本项目试图开创的。该项目的主要灵感来自于观察到，分布式传感能力和大规模网络上的通信在自然界中很常见，并且是任何被称为群的生物体系结构的基础。人类的智慧被认为是这种建筑的一个非凡的例子。与人工通信网络相比，网络中的通信以一种非常不同的方式发生，并从非常简单的构建块中产生。这些节点协作并聚合其作为分布式源和接收器运行的信号，其中对等传输完全丢失。

ABSTRACT0347514Anna ScaglioneCornell UElectronic devices become more reliable and can be integrated at very small scales. Sensors combined with embedded intelligence meet an increasing number of applications. The value of gathering and processing information locally is tied to the ability to communicate the information itself remotely. The scale of the communication devices developed thus far and their purpose do not meet the requirement of distributed, dynamic, energy limited networks of gigantic scale. I addition, most of the research at the physical layer has been focused on channel access. Cellular networks and wireless local area networks are designed following the principles developed in years of research on multiple access.The backbone of these networks is not wireless and this has clearly polarized the research on mobile communications towards solving the access problem. Networking large numbers of these devices with traditional methods requires prohibitive costs that soon become incompatible with the dynamic nature of the network and the limited capabilities of each node. Recent results also indicate that as the density of the nodes increases peer to peer communications become unfeasible, even under the best multiple access and routing scheme. This results reinforce the need of a paradigm shift in the design and this is what this project is trying to pioneer.The key inspiration in this project stems from the observation that distributed sensing ability and communications ver large scale networks are common in nature and are at the basis of any biological architecture referred to as swarm. Human intelligence is believed to be a remarkable example of such architecture. The communications within the network occur in a very different fashion compared to man-made communication networks and emerge from very simple building blocks. The nodes cooperate and aggregate their signals operating as distributed sources and receivers, where peer to peer transmissions are completely lost.