Publication detail

Localized Algorithm for Border Nodes Detection in WSNs

KENYERES, M. RUPP, M. KENYERES, J. FARKAŠ, P.

Original Title

Localized Algorithm for Border Nodes Detection in WSNs

English Title

Localized Algorithm for Border Nodes Detection in WSNs

Type

conference paper

Language

en

Original Abstract

The routing possesses a serious challenge in ad-hoc wireless sensor networks. In this paper, we focus on so-called self-organizing coordinate systems, which are perceived as the current state of the art in this area. More specifically, we focus on providing of a solid starting point by a detection of nodes located on a network's border. Our intention is to limit the number of nodes involved in this process in order to decrease their energy consumption. Thus, every node requires only locally available data to detect whether it is located on the network's border. We achieved this by fragmenting the network into smaller segments called packs. Then, an analysis of their mutual relations allows to identifying nodes on the network's border. We study three significantly different scenarios, offering various applications in the routing process. Moreover, a slight modification of the algorithm allows to find the center node of the network.

English abstract

The routing possesses a serious challenge in ad-hoc wireless sensor networks. In this paper, we focus on so-called self-organizing coordinate systems, which are perceived as the current state of the art in this area. More specifically, we focus on providing of a solid starting point by a detection of nodes located on a network's border. Our intention is to limit the number of nodes involved in this process in order to decrease their energy consumption. Thus, every node requires only locally available data to detect whether it is located on the network's border. We achieved this by fragmenting the network into smaller segments called packs. Then, an analysis of their mutual relations allows to identifying nodes on the network's border. We study three significantly different scenarios, offering various applications in the routing process. Moreover, a slight modification of the algorithm allows to find the center node of the network.

Keywords

ad hoc networks, sensor placement, telecommunication network routing,wireless sensor networks, WSN, ad hoc wireless sensor networks, energy consumption, localized algorithm, network border node detection, routing process, self-organizing coordinate systems, Self-organizing, Coordinate Systems, Wireless Sensor Networks, routing

RIV year

2012

Released

18.06.2012

Publisher

IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA

Location

London

ISBN

978-1-4577-0579-3

Book

Wireless Telecommunications Symposium (WTS), 2012

Pages from

1

Pages to

8

Pages count

8

Documents

BibTex


@inproceedings{BUT109539,
  author="Martin {Kenyeres} and Markus {Rupp} and Jozef {Kenyeres} and Peter {Farkaš}",
  title="Localized Algorithm for Border Nodes Detection in WSNs",
  annote="The routing possesses a serious challenge in ad-hoc wireless sensor networks. In this paper, we focus on so-called self-organizing coordinate systems, which are perceived as the current state of the art in this area. More specifically, we focus on providing of a solid starting point by a detection of nodes located on a network's border. Our intention is to limit the number of nodes involved in this process in order to decrease their energy consumption. Thus, every node requires only locally available data to detect whether it is located on the network's border. We achieved this by fragmenting the network into smaller segments called packs. Then, an analysis of their mutual relations allows to identifying nodes on the network's border. We study three significantly different scenarios, offering various applications in the routing process. Moreover, a slight modification of the algorithm allows to find the center node of the network.",
  address="IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA",
  booktitle="Wireless Telecommunications Symposium (WTS), 2012",
  chapter="109539",
  doi="10.1109/WTS.2012.6266101",
  howpublished="print",
  institution="IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA",
  year="2012",
  month="june",
  pages="1--8",
  publisher="IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA",
  type="conference paper"
}