Name of the participant: Sreekrishna Pandi
Description of the IT research project: Vehicular communication systems is one of the key goals of the next generation wireless networks. Numerous planned applications of the future across various industry verticals depend on a reliable and mobile wireless communication network. Some of the examples include multi-vehicular platooning use case of the automotive industry, fully automated AGV’s of the Industry 4.0, and autonomous and collaborative swarms of Unmanned Areal Vehicles (UAV). Many of the existing solutions to address these industry needs are dependent on traditional cellular connectivity and pre-installed infrastructure. E.g.4G base stations and WiFi access points. However, it is impractical to expect absolute infrastructure-network coverage in all regions of operation. These constraints call for a reliable decentralized ad-hoc mesh network that does not only coexist with, but also complements the traditional infrastructure network. This work focuses on designing and developing such a system.
The overall goal of this project is to address the rapidly evolving communication needs of the various industry verticals using the novel networking techniques actively being developed by the network research community. The focus of this project is placed on maintaining a reliable communication link between the mobile nodes even outside the coverage of infrastructure network (e.g. Cellular base stations). Such a network, where the nodes can communicate within each other in a decentralized fashion is commonly denoted as a mesh network or Ad-hoc network.
Traditional mesh networks are designed for static nodes, i.e., the nodes do not move relative to each other over time. When the nodes start moving, the connections within the network become increasingly unreliable due to rapid link-quality changes. One of the key objectives of this project will be to study the applicability of these modern techniques, among other means, onto the V2V communication use cases.
Software Campus partners: TU Dresden, Huawei
Implementation period: 02.2020 – 07.2021