TU BRAUNSCHWEIG
| Carl-Friedrich-Gauß-Fakultät | Informatik
Informatikzentrum

Design, Implementation and Evaluation of an online-system for the INGA platform to learn temperature dependency

Betreuer Robert Hartung
Professor Prof. Dr.-Ing. Lars Wolf
Projekt reap
IBR Gruppe CM (Prof. Wolf)
Art Bachelorarbeit, Masterarbeit
Status offen

Introduction

Our experiments have shown that performance of a sensor network is dependent on environmental conditions. Temperature influences metrics such as PRR the most and needs to be supervised. However, the influence and resulting effects are not the same across all sensor nodes. Specifically, it varies on each individual node with a few common models.

The effect is that the Packet Reception Ratio (PRR) drops either not at all, at higher temperatures or even at ambient temperature. Therefore, when nowing that the PRR is above a certain threshold (e.g. 50%), not sending packets at all and delaying sending packets until temperature changes can save energy, as retransmissions do not have be made.

Tasks

Your tasks in this theses are as following:

  • Design and implement a software that dynamically adapts to environmental conditions
  • Integrate your implementation into the RIOT OS
  • Make evaluations on how good your implementation detects and how reliable it is
  • Both simulations and real experiments are part of your thesis

Links


aktualisiert am 10.09.2017, 15:37 von Robert Hartung
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