Lab

AnyWi Technologies B.V.

About the lab

Masters of complex connectivity

Our main mission is to make wireless IP connections reliable, secure and cost efficient, using as different radio technologies and multipath IP.

The distinctive character of AnyWi is in years of experience with wireless communication, extensive research and an international network of experts. Most projects in which AnyWi is involved are business-critical applications with real-time data processing.

Featured projects (2)

Project
Drones can perform air operations that manned aircraft struggle with, and their use brings significant economic savings and environmental benefits whilst reducing the risk to human life. Drone-based service and product innovation, driven by increased levels of connectivity and automation, is limited by the growing dependence on poorly interoperable, proprietary technologies, and the risks posed to people, to other vehicles and to property. This issue has a high impact on European innovation, which demands R&D investments and incentives for the convergence of shared technologies and markets as a remedy. Actions creating globally harmonized, commercially exploitable yet widely accessible R&D ecosystems should be publicly performed. Complementing existing European efforts, COMP4DRONES is an ECSEL JU project coordinated by Indra that brings together a consortium of 50 partners with the aim of providing a framework of key enabling technologies for safe and autonomous drones. In particular, COMP4DRONES will leverage composability and modularity for customizable and trusted autonomous drones for civilian services. The project takes into account recent regulation developments in this area from EASA. The project will also consider the SESAR-JU studies concerning civilian drones, and will adhere to the U-space approach and protocols when available. COMP4DRONES will carry a holistically designed ecosystem ranging from electronic components to application, realised as a tightly integrated, multi-vendor and compositional drone architecture, complemented by a tool chain addressing the compositional architecture principles. The ecosystem aims at: supporting efficient customization and incremental assurance of drone embedded platforms safe autonomous decision-making concerning individual or cooperative missions, trustworthy drone-to-drone and drone-to-ground communications, even in presence of malicious attackers and under the intrinsic platform constraints, and agile and cost-effective compositional design and assurance of drone modules and systems. COMP4DRONES will also build an open, sustainable ecosystem around public, royalty-free and goal-driven software platform standards that will ease the development of new drone functionalities for multiple application domains, driving ecosystem development and benchmarking on the fields of transport, inspection, logistic, precision agriculture, parcel delivery. https://www.comp4drones.eu/
Project
Airborne data collection on resilient system architectures ADACORSA targets to strengthen the European drone industry and increase public and regulatory acceptance of BVLOS (beyond visual line-of-sight) drones, by demonstrating technologies for safe, reliable and secure drone operation in all situations and flight phases. The project will drive research and development of components and systems for sensing, telecommunication and data processing along the electronics value-chain. Additionally, drone lead smart industries with high visibility and place for improvement will be developed which will pave the way for a higher public / industry acceptance of the drone technologies. In particular, ADACORSA will deliver: On the component level, functionally redundant and fail-operational radar and LiDAR sensors as well as 3D cameras. In order to reduce risk, time and costs, the project aims to adapt technologies from the automotive sector to the drone market for these components. On the system level, hardware and software for reliable sensor fusion and data analytics as well as technologies for secure and reliable drone communication using multipath TCP and registration and identification by developing platforms based on eUICCs/eSIM. On an architecture level, fail-operational drone control and investigation a pre-operational Flight Information Management System (FIMS) the integration with CoTS components for Unmanned Air Vehicle Traffic Management System (UTM). Within the project, 35 physical as well as virtual demonstrators of BLVOS, long-range drone flight shall pave the way toward certifiable systems for future integration of drone operations. ADACORSA's innovations will leverage the expertise of a very strong consortium, comprising world renowned industrial (OEMs, Tier-1, Tier-2 and technology providers) and research partners along the complete aviation, semiconductor and also automotive value chains, providing Europe with a competitive edge in a growing drone and drone technologies market. https://adacorsa.eu

Featured research (4)

Reliable communication between the vehicle and its environment is an important aspect, to enable automated driving functions that include data from outside the vehicle. One way to achieve this is presented in this paper, a pipeline, that represents the entire process from data acquisition up to model inference in production. In this paper, a pipeline is developed to conduct a round-trip time prediction for TCP in the 4th generation of mobile network, called LTE. The pipeline includes data preparation, feature selection, model training and evaluation, and deployment of the model. In addition to the technical backgrounds of the design of the required steps for the deployment of a model on a target platform within the vehicle, a concrete implementation how such a model enables more reliable scheduling between multiple communication paths is demonstrated. Finally, the work outlines how such a feature can be applied beyond the field of automated vehicles, e.g. to the domain of unmanned aerial vehicles.
Reliable communication between the vehicle and its environment is an important aspect, to enable automated driving functions that include data from outside the vehicle. One way to achieve this is presented in this paper, a pipeline, that represents the entire process from data acquisition up to model inference in production. In this paper, a pipeline is developed to conduct a round-trip time prediction for TCP in the 4 th generation of mobile network, called LTE. The pipeline includes data preparation, feature selection, model training and evaluation, and deployment of the model. In addition to the technical backgrounds of the design of the required steps for the deployment of a model on a target platform within the vehicle, a concrete implementation how such a model enables more reliable scheduling between multiple communication paths is demonstrated. Finally, the work outlines how such a feature can be applied beyond the field of automated vehicles, e.g. to the domain of unmanned aerial vehicles.
The operation of unmanned aircraft systems (UAS) currently sees limitations in beyond visual line of sight (BVLOS) missions. Outside of military operations, regulations and technology for safe operations are still being developed. To ensure alignment with regulatory demands in such scenarios, the complete UAS must be designed to meet the required safety standards. This includes the design of the Command, Control and Communication (C3) link. In this paper, we examine the nascent regulatory framework and technical challenges facing system designers who wish to achieve high levels of safety and compliance utilizing cost-effective communications networks. We further propose a path towards achieving this goal. This file is a preprint version of the paper with the given DOI to be presented at HiPEAC DroneSE '21.
DevOps describes a method to reorganize the way different disciplines in software engineering work together to speed up software delivery. However, the introduction of DevOps-methods to organisations is a complex task. A successful introduction results in a set of structured process descriptions. Despite the structure, this process leaves margin for error: Especially security issues are addressed in individual stages, without consideration of the interdependence. Furthermore, applying DevOps-methods to distributed entities, such as the Internet of Things (IoT) is difficult as the architecture is tailormade for desktop and cloud resources. In this work, an overview of tooling employed in the stages of DevOps processes is introduced. Gaps in terms of security or applicability to the IoT are derived. Based on these gaps, solutions that are being developed in the course of the research project SCRATCh are presented and discussed in terms of benefit to DevOps-environments.