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KENYERES, M. KENYERES, J. RUPP, M. FARKAŠ, P.
Original Title
An algorithm for central point estimation in WSNs
Type
conference paper
Language
English
Original Abstract
Wireless sensor networks possess many challenges. One of the most significant is routing. In this paper, we focus on so-called Self-organizing Coordinate Systems, which are perceived as the current state of the art. Protocols included in this class are intended to create a virtual coordinate system within the network, applying principles of geographical routing. We aim to find a solid starting point for virtual coordinate assignment in a random network with no location data available. In our previous work, we presented a localized algorithm which is able to derive basic location information from the nodes connectivity. In this paper, we extend this algorithm to estimate the network's central point.
Keywords
estimation theory, random processes, routing protocols, wireless sensor networks, WSN, central point estimation, geographical routing, localized algorithm, location information, network central point, nodes connectivity, protocols, random network, self-organizing coordinate systems, solid starting point, virtual coordinate assignment, virtual coordinate system, wireless sensor networks, distributed algorithms, virtual coordinates
Authors
KENYERES, M.; KENYERES, J.; RUPP, M.; FARKAŠ, P.
RIV year
2012
Released
3. 7. 2012
Publisher
IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Location
Prague
ISBN
978-1-4673-1118-2
Book
Telecommunications and Signal Processing (TSP), 2012 35th International Conference on
NEUVEDENO
Pages from
32
Pages to
36
Pages count
5
BibTex
@inproceedings{BUT109542, author="Martin {Kenyeres} and Jozef {Kenyeres} and Markus {Rupp} and Peter {Farkaš}", title="An algorithm for central point estimation in WSNs", booktitle="Telecommunications and Signal Processing (TSP), 2012 35th International Conference on", year="2012", pages="32--36", publisher="IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA", address="Prague", doi="10.1109/TSP.2012.6256247", isbn="978-1-4673-1118-2" }