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Article overview
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B.A.T.Mobile: Leveraging Mobility Control Knowledge for Efficient Routing in Mobile Robotic Networks | | Benjamin Sliwa
; Daniel Behnke
; Christoph Ide
; Christian Wietfeld
; | | Date: |
5 Jul 2016 | | Abstract: | Efficient routing is one of the key challenges of wireless networking for
unmanned autonomous vehicles (UAVs) due to dynamically changing channel and
network topology characteristics. Various well known mobile-ad-hoc routing
protocols, such as AODV, OLSR and B.A.T.M.A.N. have been proposed to allow for
proactive and reactive routing decisions. In this paper, we present a novel
approach which leverages application layer knowledge derived from mobility
control algorithms guiding the behavior of UAVs to fulfill a dedicated task.
Thereby a prediction of future trajectories of the UAVs can be integrated with
the routing protocol to avoid unexpected route breaks and packet loss. The
proposed extension of the B.A.T.M.A.N. routing protocol by a mobility
prediction component - called B.A.T.Mobile - has shown to be very effective to
realize this concept. The results of in-depth simulation studies show that the
proposed protocol reaches a distinct higher availability compared to the
established approaches and shows robust behavior even in challenging channel
conditions. | | Source: | arXiv, 1607.1223 | | Services: | Forum | Review | PDF | Favorites | |
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