FG Verteilte Systeme und Betriebssysteme
Today's applications and services become more dependent on fast wireless communication, for the upcoming years data-rate demands of 100Gbit/s can be easily expected. However, fulfilling that demand is a task which cannot simply be solved by upscaling existing technologies. While most of the research tackles the challenges regarding the transmission technology from the physical layer up to base-band processing, we focus on the challenges concerning the handling of that vast amount of data. The overall goal is to bring together the transmission technology with the operating system to create a suitable end-to-end communication solution.
In this paper we argue that communication can be understood as a soft-realtime problem and how that helps introducing parallelism into protocol-processing.
Assessing the Feasibility of Combined BLE and Wi-Fi Communication for High Data Sensing Applications
(2023)
Advanced sensors generate more data than can be transmitted using classic battery-powered wireless sensor networks. While using Wi-Fi would provide plenty of throughput, the receivers are energy hungry and, thus, the radio time needs to be reduced. Previous research suggests to combine Wi-Fi with low-power technologies such as BLE for an energy efficient coordination of the Wi-Fi radios. Existing approaches focus on individual point-to-point routes whereas certain applications require concurrent transmissions. We evaluated the combination of BLE and Wi-Fi on the ESP32-S3 multi-radio microcontroller through detailed energy and throughput measurements. The results show that established BLE connections allow to activateWi-Fi quickly on-demand; the energy efficiency of the data transmission is significantly improved over previous works but the BLE connection setup is prohibitively slow. While the combination of BLE and Wi-Fi provides high throughput with good energy efficiency, careful design of the BLE-based signalling protocol is necessary to also achieve low latency.
In this paper, we present an approach to support
transaction-based spatial-temporal programming of mobile robot
swarms on a systemic level. We introduce a programming model
for swarms of mobile robots. Swarm applications consist of
concurrent, distributed and context-aware actions. We provide
distributed transactions in order to guarantee atomic execution of
a set of dependent actions. We distinguish between schedulability
and executability of a set of actions. In order to guarantee exe-
cutability of a distributed transaction of spatial-temporal actions,
we present the concept of path alternatives and a time-based two-
phase commit protocol in order to assure consistency. We show
the feasibility of our approach by a proof-of-concept.
Experiments have shown that the number of asymmetric and unidirectional links often exceeds the number of bidirectional ones, especially in the transitional area of the communication range of wireless sensor nodes. Still, most of today’s routing protocols ignore their existence or try to remove their implications. Also, links are not stable over time, and routes become unusable often, resulting in a need for new routing protocols that can handle highly dynamic links and use unidirectional links to their advantage. At Sensorcomm 2014, we presented BuckshotDV, a routing protocol which is resilient against link fluctuations and uses the longer reach of unidirectional links to increase its performance. Furthermore, its distance vector nature makes it scalable for large sensor networks. This paper is an extended version which adds some implementation details and the evaluation of BuckshotDV in two more application scenarios.