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Christian Renner

Picture of Christian Renner
Christian Renner
Room 4.085, building E
Schwarzenbergstraße 95
21073 Hamburg
phone+49 40 42878 - 3746
fax+49 40 42878 - 2581
e-mail

In October 2003 I started studying Computer Science and Engineering (Informatik-Ingenieurwesen) at Hamburg University of Technology and graduated in June 2008. I have been working as research assistant at the Institute of Telematics since Juli 2008, where I am currently working towards my PhD with the subject „Energy Budgeted Sensor Networks Based on Renewable Energy Sources".


CV

Projects

Publications

Christian Renner and Volker Turau. Policies for Predictive Energy Management with Supercapacitors. In Proceedings of the 8th IEEE International Workshop on Sensor Networks and Systems for Pervasive Computing (PerSeNS'12), March 2012. Lugano, Switzerland. To be published.
[BibTeX] [Abstract]
@InProceedings{Telematik_RT_2012_Epol, author = {Christian Renner and Volker Turau}, title = {Policies for Predictive Energy Management with Supercapacitors}, booktitle = {Proceedings of the 8th IEEE International Workshop on Sensor Networks and Systems for Pervasive Computing (PerSeNS'12)}, day = {19-23}, month = mar, year = 2012, location = {Lugano, Switzerland}, }
Abstract: This paper presents an algorithm to dynamically determine the maximum supported uniform demand for energy of sensor nodes powered by energy harvesters using supercapacitors as energy buffers. Knowledge about the maximum uniform consumption is required to adapt the sensor node's duty cycle or task schedule to achieve uniform, utility-maximizing, and depletion-safe operation. Our algorithm makes use of a supercapacitors' relationship between state-of-charge and voltage, is particularly designed to handle the non-linear system model, and is lightweight enough to run on low-power sensor node hardware. We define three energy policies, evaluate their performance using a real-world solar-harvesting trace, and analyze the influence of the supercapacitor's capacity and errors of the energy forecast.
Stefan Unterschütz, Christian Renner and Volker Turau. Opportunistic, Receiver-Initiated Data-Collection Protocol. In Proceedings of the 9th European Conference on Wireless Sensor Networks (EWSN'12), February 2012. Trento, Italy. To be published.
[BibTeX] [Abstract]
@InProceedings{Telematik_URT_2012_Orinoco, author = {Stefan Unterschütz and Christian Renner and Volker Turau}, title = {Opportunistic, Receiver-Initiated Data-Collection Protocol}, booktitle = {Proceedings of the 9th European Conference on Wireless Sensor Networks (EWSN'12)}, day = {15-17}, month = feb, year = 2012, location = {Trento, Italy}, }
Abstract: This paper presents and evaluates ORiNoCo, a novel data-collection and event-reporting protocol for sensor networks. ORiNoCo is built upon the asynchronous duty-cycle protocol RI-MAC and breaks with the tradition of exchanging extensive neighborhood information, a cornerstone of many competing collection protocols and one of their major source of communication overhead and energy expenditure. The merit of this venture is an opportunistic, energy-efficient, latency-reducing, and self-stabilizing protocol. ORiNoCo comes at virtually no extra costs in terms of memory demand and communication overhead compared to RI-MAC. We derive theoretical boundaries for the improvements in radio efficiency, latency, and energy-consumption. ORiNoCo is verified with these findings via simulation and compared with CTP. ORiNoCo achieves lower energy-consumption while reducing end-to-end delays.
Christian Renner, Stefan Unterschütz and Volker Turau. Power Management for Wireless Sensor Networks Based on Energy Budgets. Technical Report urn:nbn:de:gbv:830-tubdok-11065, Hamburg University of Technology, Hamburg, Germany, July 2011.
[BibTeX] [Abstract] [PDF]
@TechReport{Renner_Unterschuetz_PowerManagement-TechReport, author = {Christian Renner and Stefan Unterschütz and Volker Turau}, title = {Power Management for Wireless Sensor Networks Based on Energy Budgets}, number = {urn:nbn:de:gbv:830-tubdok-11065}, institution = {Hamburg University of Technology}, address = {Hamburg, Germany}, month = jul, year = 2011, }
Abstract: This paper proposes and assesses analytical tools for large-scale monitoring applications with wireless sensor networks powered by energy-harvesting supplies. We introduce the concept of an energy budget, the amount of energy available to a sensor node for a given period of time. The presented tools can be utilized to realize distributed algorithms that determine a schedule to perform the monitoring task and the inherent communication. Scheduling is based on the energy budgets of the nodes or on latency requirements. In this context, we derive theoretical results for the energy consumption of the individual nodes plus the latency of event-reporting. These results are verified by simulations and a real testbed implementation.

The complete list of publications is available separately.

Supervised Theses

Completed Theses