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Oliver Kasten

dblp:84/1731 · DBLP profile ↗
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3ranked-venue papers
1as first author
0since 2021 · last 2005
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 1 first-authorSoftware engineering, systems software and programming languages · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
2 papers
Internet of things and sensor networks · 100%
Software engineering, system software, and programming languages
1 paper
Programming languages and type systems · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Embedded and real-time systems · 100%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › wireless sensor network
sensor network programming
0.112005
Beyond event handlers: programming wireless sensors with attributed state machines · IPSN 2005
Programming languages and type systems
programming models
0.112005
Beyond event handlers: programming wireless sensors with attributed state machines · IPSN 2005
Internet of things and sensor networks › wireless sensor network
wireless sensor network platform
0.012003
BTnodes - a distributed platform for sensor nodes · SenSys 2003

Methods — techniques the papers use, named apart from their topics

memory management · 0.1compiler · 0.1
YearPublicationVenuePosition
2005 Beyond event handlers: programming wireless sensors with attributed state machines
abstract
Event-driven programming is a popular paradigm for programming sensor nodes. It is based on the specification of actions (also known as event handlers) which are triggered by the occurrence of events. While this approach is both simple and efficient, it suffers from two important limitations. Firstly, the association of events to actions is static-there is no explicit support for adopting this association depending on the program state. Secondly, a program is split up into many distinct actions without explicit support for sharing information among these. These limitations often lead to issues with code modularity, complexity, and correctness. To tackle these issues we propose OSM, a programming model and language for sensor nodes based on finite state machines. OSM extends the event paradigm with states and transitions, such that the invocation of actions becomes a function of both the event and the program state. For removing the second limitation, OSM introduces state attributes that allow sharing of information among actions. They can be considered local variables of a state with support for automatic memory management. OSM specifications can be compiled into sequential C code that requires only minimal runtime support, resulting in efficient and compact systems.
Oliver Kasten, Kay Römer
IPSN1
2003 Supporting Mobility in Content-Based Publish/Subscribe Middleware
Ludger Fiege, Felix C. Freiling, Oliver Kasten, Andreas Zeidler
Middleware3
2003 BTnodes - a distributed platform for sensor nodes
abstract
We motivate a prototyping platform for ad hoc networking research showing some requirements and constraints. The architecture of the BTnodes, each of which can store information, compute and communicate, is explained in conjunction with some demo applications that have been implemented. Important requirements and design trade-offs to be able to support multiple, compatible communication interfaces, to handle limited resources, for power-aware operation and for efficient testbed deployment are discussed.
Jan Beutel, Oliver Kasten, Matthias Ringwald
SenSys2