Cenk Gündoğan

Information-centric networking for the industrial IoT

The wireless Internet of Things interconnects numerous constrained devices such as sensors and actuators not only with each other, but also with cloud services. We demonstrate a low power and lossy Information-Centric Network interworking with a cloud in an industrial application. Our approach includes a lightweight publish-subscribe system for NDN and an ICN-to-MQTT gateway which translates between NDN names and MQTT topics. This demo is based on RIOT and CCN-lite.

The need for a name to MAC address mapping in NDN: towards quantifying the resource gain

In this paper, we start from two observations. First, many application scenarios that benefit from ICN involve battery driven nodes connected via shared media. Second, current link layer technologies are completely ICN agnostic, which prevents filtering of ICN packets at the device driver level. Consequently, any ICN packet, Interest as well as Data, is processed by the CPU. This sacrifices local system resources and disregards link layer support functions such as wireless retransmission. We argue for a mapping of names to MAC addresses to efficiently handle ICN packets, and explore dynamic face-based mapping schemes. We analyze the impact of this link-layer adaptation in real-world experiments and quantitatively compare different configurations. Our findings on resource consumption, and reliability on constrained devices indicate significant gains in larger networks.

A PUF Seed Generator for RIOT: Introducing Crypto-Fundamentals to the Wild

INTRODUCTION & CONTRIBUTION The IoT interconnects off-the-shelf microcontrollers with the global Internet, and RIOT [1] is the friendly open source operating system that brings standard networking to many IoT nodes. Like in most OSes, networking, cryptography, and other daily routines require local random input of very low predictability. Generating unclonable individual numbers on microcontrollers, though, is surprisingly hard, since most devices run on a deterministic clock and show almost no distinguishing features. Physically unclonable functions (PUFs) are a promising class of solutions to this problem. They extract unique or reconfigurable output from individual hardware properties. Recent work [2, 3] has identified SRAM memory as a feasible entropy source.

Seamless Producer Mobility for the Industrial Information-Centric Internet

ACM Reference Format: CenkGündoğan1, Peter Kietzmann1, Thomas C. Schmidt1, Martine Lenders2, Hauke Petersen2, Matthias Wählisch2, Michael Frey3, Felix Shzu-Juraschek3 . 2018. Demo: Seamless Producer Mobility for the Industrial InformationCentric Internet. In MobiSys ’18: The 16th Annual International Conference on Mobile Systems, Applications, and Services, June 10–15, 2018, Munich, Germany. ACM, New York, NY, USA, 1 page. https://doi.org/10.1145/3210240. 3211114