A Mesh-based Robust Topology Discovery Algorithm for Hybrid Wireless Networks
Research output: Contribution to conferences › Paper › Contributed
Contributors
Abstract
Wireless networks in home, office and sensor applications consist of
nodes with low mobility. Most of these networks have at least a few powerful
machines additionally connected by a wireline network. Topology informa-
tion of the wireless network at these powerful nodes can be used to control
transmission power, avoid congestion, compute routing tables, discover re-
sources, and to gather data. In this paper we propose an algorithm for topol-
ogy discovery in wireless networks with slow moving nodes and present var-
ious performance characteristics of this algorithm. The proposed algorithm
discovers all links and nodes in a stable wireless network and has an excellent
message complexity: the algorithm has an optimal message complexity in a
stable network and the overhead degrades slowly with increasing mobility of
the nodes.
nodes with low mobility. Most of these networks have at least a few powerful
machines additionally connected by a wireline network. Topology informa-
tion of the wireless network at these powerful nodes can be used to control
transmission power, avoid congestion, compute routing tables, discover re-
sources, and to gather data. In this paper we propose an algorithm for topol-
ogy discovery in wireless networks with slow moving nodes and present var-
ious performance characteristics of this algorithm. The proposed algorithm
discovers all links and nodes in a stable wireless network and has an excellent
message complexity: the algorithm has an optimal message complexity in a
stable network and the overhead degrades slowly with increasing mobility of
the nodes.
Details
Original language | English |
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Number of pages | 16 |
Publication status | Published - 2002 |
Peer-reviewed | No |
Keywords
Research priority areas of TU Dresden
DFG Classification of Subject Areas according to Review Boards
Keywords
- Topology Discovery, Wireless Networks, Distributed Systems, Home Networks, Sensor Networks