Buckshot Routing - A Robust Source Routing Protocol for Dense Ad-Hoc Networks

David Peters; Reinhardt Karnapke; Jörg Nolte

Ad Hoc Networks. First International Conference, ADHOCNETS 2009, Niagara Falls, Ontario, Canada, September 22-25, 2009. Revised Selected Papers

Research Article

Buckshot Routing - A Robust Source Routing Protocol for Dense Ad-Hoc Networks

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@INPROCEEDINGS{10.1007/978-3-642-11723-7_18,
    author={David Peters and Reinhardt Karnapke and J\o{}rg Nolte},
    title={Buckshot Routing - A Robust Source Routing Protocol for Dense Ad-Hoc Networks},
    proceedings={Ad Hoc Networks. First International Conference, ADHOCNETS 2009, Niagara Falls, Ontario, Canada, September 22-25, 2009. Revised Selected Papers},
    proceedings_a={ADHOCNETS},
    year={2012},
    month={7},
    keywords={wireless sensor networks source routing robustness dense networks},
    doi={10.1007/978-3-642-11723-7_18}
}

David Peters
Reinhardt Karnapke
Jörg Nolte
Year: 2012
Buckshot Routing - A Robust Source Routing Protocol for Dense Ad-Hoc Networks
ADHOCNETS
Springer
DOI: 10.1007/978-3-642-11723-7_18

David Peters¹^,*, Reinhardt Karnapke¹^,*, Jörg Nolte¹^,*

1: Brandenburg University of Technology Cottbus

*Contact email: dpeters@informatik.tu-cottbus.de, karnapke@informatik.tu-cottbus.de, jon@informatik.tu-cottbus.de

Abstract

Experiments with wireless sensor networks have shown that unidirectional communication links are quite common. What is even more, they have also shown that the range of a unidirectional link can exceed that of a bidirectional one by far. Still, most of todays routing protocols do not use them, they only eliminate their implications. Those protocols that do use unidirectional links introduce a lot of protocol overhead. In this paper we present , a robust, yet simple source routing protocol for dense wireless networks with lossy or unidirectional links, which reduces the overhead generated by route discovery and route maintenance significantly.

Keywords: wireless sensor networks source routing robustness dense networks

Published: 2012-07-05

: http://dx.doi.org/10.1007/978-3-642-11723-7_18