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Distributed Geometric Distance Estimation in Ad Hoc Networks

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Ad-hoc, Mobile, and Wireless Networks (ADHOC-NOW 2012)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7363))

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Abstract

Distributed localization algorithms for nodes in ad hoc networks are essential for many applications. A major task when localizing nodes is to accurately estimate distances. So far, distance estimation is often based on counting the minimum number of nodes on the shortest routing path (hop count) and presuming a fixed width for one hop. This is prone to error as the length of one hop can vary significantly. In this paper, a distance estimation method is proposed, which relies on the number of shared communication neighbors and applies geometric properties to the network structure. It is shown that the geometric approach provides reliable estimates for the distance between any two adjacent nodes in a network. Experiments reveal that the estimation has less relative percentage error compared to a hop based algorithm in networks with different node distributions.

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Author information

Authors and Affiliations

  1. Institute AIFB, Karlsruhe Institute of Technology (KIT), 76128, Karlsruhe, Germany

    Sabrina Merkel, Sanaz Mostaghim & Hartmut Schmeck

Authors
  1. Sabrina Merkel
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  2. Sanaz Mostaghim
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  3. Hartmut Schmeck
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Editor information

Editors and Affiliations

  1. Department of Computer Science, Illinois Institute of Technology, 10, West 31st Street, 60616, Chicago, IL, USA

    Xiang-Yang Li

  2. School of Electrical and Computer Engineering, National Technical University of Athens, Iroon Polytechniou 9, 15780, Athens, Greece

    Symeon Papavassiliou

  3. FTW - Telecommunications Research Center Vienna, Donau-City-Strasse 1, 1220, Vienna, Austria

    Stefan Ruehrup

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© 2012 Springer-Verlag Berlin Heidelberg

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Merkel, S., Mostaghim, S., Schmeck, H. (2012). Distributed Geometric Distance Estimation in Ad Hoc Networks. In: Li, XY., Papavassiliou, S., Ruehrup, S. (eds) Ad-hoc, Mobile, and Wireless Networks. ADHOC-NOW 2012. Lecture Notes in Computer Science, vol 7363. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31638-8_3

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  • DOI: https://doi.org/10.1007/978-3-642-31638-8_3

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31637-1

  • Online ISBN: 978-3-642-31638-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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