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Article overview
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Active exploration of sensor networks from a robotics perspective | Christian Blum
; Verena V. Hafner
; | Date: |
17 Nov 2015 | Abstract: | Traditional algorithms for robots who need to integrate into a wireless
network often focus on one specific task. In this work we want to develop
simple, adaptive and reusable algorithms for real world applications for this
scenario. Starting with the most basic task for mobile wireless network nodes,
finding the position of another node, we introduce an algorithm able to solve
this task. We then show how this algorithm can readily be employed to solve a
large number of other related tasks like finding the optimal position to bridge
two static network nodes. For this we first introduce a meta-algorithm inspired
by autonomous robot learning strategies and the concept of internal models
which yields a class of source seeking algorithms for mobile nodes. The
effectiveness of this algorithm is demonstrated in real world experiments using
a physical mobile robot and standard 802.11 wireless LAN in an office
environment. We also discuss the differences to conventional algorithms and
give the robotics perspective on this class of algorithms. Then we proceed to
show how more complex tasks, which might be encountered by mobile nodes, can be
encoded in the same framework and how the introduced algorithm can solve them.
These tasks can be direct (cross layer) optimization tasks or can also encode
more complex tasks like bridging two network nodes. We choose the bridging
scenario as an example, implemented on a real physical robot, and show how the
robot can solve it in a real world experiment. | Source: | arXiv, 1511.5488 | Services: | Forum | Review | PDF | Favorites |
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