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Series in Distributed Computing
edited by Roger Wattenhofer
Vol. 1
Ad hoc and sensor networks consist of autonomous devices communicating
via radio equipment. Common scenarios for ad hoc networks include survivable,
efficient, dynamic communication networks for emergency and rescue operations,
disaster relief efforts, and similar tasks where typically no communication
infrastructure is present prior to the deployment of the ad hoc network. In
sensor networks, nodes are additionally equipped with sensors, performing the
task of sensing a certain physical value, such as temperature, humidity,
brightness, or motion, and periodically reporting the sensed data to a
designated sink node for monitoring purposes.
Since ad hoc and sensor network nodes are generally assumed to be autonomous
and operate for a considerable period of time — in case of sensor networks up
to several years —, energy conservation is one of the central issues in this
research context. On the other hand, many scenarios assume a high degree of
dynamics, particularly based on node mobility.
This dissertation discusses two major problem fields in the context of ad hoc
and sensor networks. In particular, geographic routing — a local type of
routing inherently well suited for dynamic ad hoc networks — is studied with
respect to both worst-case and average-case networks. Second, topology control
based on transmission power reduction puts the focus on energy conservation as
a consequence of restricted interference among the network nodes.
Aaron Zollinger received his M.Sc. degree in computer science (Dipl.
Informatik-Ing ETH) from the Swiss Federal Institute of Technology (ETH),
Zurich, Switzerland in 2001. In the same year he joined the Distributed
Computing Group of Professor Roger Wattenhofer at ETH Zurich as a Ph.D. student
and research assistant. In 2005 he earned his Ph.D. degree for his work on
geographic routing and topology control in wireless ad hoc and sensor networks.
Series in Distributed Computing in
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