OpenSwarm: Orchestration and Programming ENergy-aware and collaborative Swarms With AI-powered Reliable Methods

目前，低功耗无线技术往往用于简单的监控应用，其中将原始传感器数据定期报告给服务器进行分析。OpenSwarm项目的目标是通过在三个技术支柱：智能节点的高效网络和管理、协作能源感知人工智能（AI）和能源感知群体编程方面的突破性研发，开发真正的协作和分布式智能节点，从而引发这些数据驱动系统的下一次革命。结果在一个名为“OpenSwarm”的开放软件包中实现，并在我们实验室的两个1000个节点的测试台上进行了验证。OpenSwarm随后在五个现实世界的概念验证用例中进行验证，涵盖四个应用领域：可再生能源社区（城市和社区），支持人类工人收割（环境），海洋噪音污染监测（环境），工业生产现场的健康和安全（工业/健康），火车移动网络（流动性）。一个全面的传播、开发和沟通计划（包括与标准化、教育和推广、开放科学和创业组织相关的各种活动）放大了OpenSwarm的预期影响，实现了一个阶段性的变化，使新颖的、未来的能源意识的协作智能节点群能够为环境、工业和社会带来广泛的利益。

Low-power wireless technology tends to be used today for simple monitoring applications, in which raw sensor data is reported periodically to a server for analysis. The ambition of the OpenSwarm project is to trigger the next revolution in these data-driven systems by developing true collaborative and distributed smart nodes, through groundbreaking R&I in three technological pillars: efficient networking and management of smart nodes, collaborative energy-aware Artificial Intelligence (AI), and energy-aware swarm programming. Results are implemented in an open software package called “OpenSwarm”, which is verified in our labs on two 1,000 node testbeds. OpenSwarm is then validated in five real-world proof-of-concept use cases, covering four application domains: Renewable Energy Community (Cities & Community), Supporting Human Workers in Harvesting (Environmental), Ocean Noise Pollution Monitoring (Environmental), Health and Safety in Industrial Production Sites (Industrial/Health), Moving Networks in Trains (Mobility). A comprehensive dissemination, exploitation, and communication plan (including a diverse range of activities related to standardization, educational and outreach, open science, and startup formations) amplifies the expected impacts of OpenSwarm, achieving a step change enabling novel, future energy-aware swarms of collaborative smart nodes with wide range benefits for the environment, industries, and society.