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MA: Power Sharing Networks – Algorithms and Protocols for Power Sharing in Body Area Networks

Friday, 11. November 2016

Body Area Networks (BAN) are a specialization of the Sensor-Network Paradigm. A set of usually wirelessly communicating devices (e.g. sensors, actors, smart devices, wearables) is attached to the user’s body. Besides common application domains like interconnected medical devices, BANs nowadays arise from the trend towards using multiple device simultaneously (e.g. smart phone, smart watch, glasses, sensors embedded in clothes). A critical resource with networks of mobile devices is power/energy. While some devices contained in the BAN may quickly run out of power due to frequent usage, others may possess remaining capacity. Therefore, researches are currently investigating the possibilities to not only share data, but also power in networks of mobile devices. Different approaches including wireless and wired power transmission exist. Even though a significant amount of power is expected to be lost due to transmission, power sharing can improve the usability and user experience of commodity BANs. While the efficiency is subject to ongoing research, the approach in general is further motivated by the existence of energy harvesting devices in the BAN that can act as power sources (e.g. a kinetic energy harvesting shoe).

The objective of this master thesis is to develop and evaluate algorithms and protocols that allow a power sharing capable BAN to make informed decisions in terms of sharing power among its nodes. More precisely, the nodes should autonomously decide when and how much power to share with which nodes. Besides solving an optimization problem, several distributed system aspects need to be considered. Examples include leader election, centralized vs. decentralized algorithms, power consumption of message transfer.

 

Students interested in the topic should have knowledge or relevant Distributed Systems concepts as well as Java programming. The topic is available in German and English language.    

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Dr. Andreas Kliem
+49 (30) 314-78591
Room E-N 175