Computer Science – Distributed – Parallel – and Cluster Computing
Scientific paper
2010-09-29
Computer Science
Distributed, Parallel, and Cluster Computing
6 pages, 5 figures, 3 tables, to appear in Journal of Networks
Scientific paper
We present a synchronization algorithm to let nodes in a sensor network simultaneously execute a task at a given point in time. In contrast to other time synchronization algorithms we do not provide a global time basis that is shared on all nodes. Instead, any node in the network can spontaneously initiate a process that allows the simultaneous execution of arbitrary tasks. We show that our approach is beneficial in scenarios where a global time is not needed, as it requires little communication compared with other time synchronization algorithms. We also show that our algorithm works in heterogeneous systems where the hardware provides highly varying clock accuracy. Moreover, heterogeneity does not only affect the hardware, but also the communication channels. We deal with different connection types---from highly unreliable and fluctuating wireless channels to reliable and fast wired connections.
Baumgartner Tobias
Fekete Sandor P.
Hellmann Winfried
Kroeller Alexander
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