CIF:Small:Collaborative Research: Energy-Aware Location Optimization in Emerging Wireless Networks

近年来，无线网络在生活的各个方面都出现了前所未有的新应用。这些新的应用和相应的机会提高了生活质量，提供了经济增长，并促进了新业务的扩张。展望未来，新兴无线网络的几个关键定义方面尤为突出。这些措施包括将能源效率作为实现大规模网络、延长网络寿命和“绿色”(即环境友好)运营的核心特征。网络也将是高度异构性的，由具有不同功率、通信和计算能力的节点组成。大多数无线节点为了完成它们的功能，都将被赋予感知能力，将物理世界连接到虚拟信息世界。网络将以高可靠性保持连接，以便可以随时随地将来自一个节点的信息传送到另一个节点。新兴的无线网络通常被认为是多层的，由节点、接入点和可能更高层的网关组成，并具有移动性。无线网络的宏观行为(从整体感知能力、能量效率、通信可靠性、连通性和移动性方面)在很大程度上取决于其组成节点的微观布局/位置。该项目探讨了在考虑连接性和自主性的异类、多层和移动无线网络中的节能节点部署问题。创新部分利用了量化理论，这一看似不太可能的候选者最初是为信号压缩而开发的，作为解决这些挑战的有前途的工具。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

Recent years have witnessed an unprecedented emergence of new applications of wireless networks in different aspects of life. These new applications and their corresponding opportunities have improved the quality of life, provided economic growth, and facilitated the expansion of new businesses. Looking forward, several key defining aspects stand out for emerging wireless networks. These include energy efficiency as a central feature enabling large-scale networks, prolonged network lifetime, and "green" (i.e., environmentally friendly) operation. Networks will also be highly heterogeneous in nature, consisting of nodes with different power, communication, and computational capabilities. Most wireless nodes, in order to fulfill their functions, will be endowed with sensing capabilities, connecting the physical world to the virtual information world. Networks are to remain connected with high reliability so that information from one node may be conveyed to another anywhere, and at any time. The emerging wireless networks are often considered to be multi-tiered, consisting of the nodes, their access points, and possibly higher-tiered gateways, and endowed with mobility.The macro behavior of a wireless network (in terms of its overall sensing capability, energy efficiency, communication reliability, connectivity, and mobility) depends heavily on the micro placement/locations of its constituent nodes. This project explores the problem of energy-efficient node deployment in heterogeneous, multi-tiered, and mobile wireless networks, taking into account connectivity and autonomy. The innovative component exploits quantization theory, a seemingly unlikely candidate that is originally developed for signal compression, as a promising tool to address these challenges.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.