Workflow concepts are well suited for scenarios where many
distributed entities work collaboratively together to achieve
a common goal. Today, workflows are mostly used as computerized
model for business processes executed in instances
in commercial Workflow Management Systems. However,
there are many other application domains where computersupported
cooperative work can be captured and organized
by workflows. In this paper, we investigate the task of
scheduling workflows in self-organizing wireless networks for
disaster scenarios. Most research work in the field of workflow
scheduling has been driven by temporal and causality
constraints. We present an adaptive scheduling algorithm
that finds a suitable execution sequence for workflow activities
by additionally considering resource allocation constraints
and dynamic topology changes. Our approach utilizes
a multi-stage distribution algorithm which we extend
with techniques to cope with network dynamics.