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Efficient Algorithms for Distributed Detection of Holes and Boundaries in Wireless Networks

Schieferdecker, Dennis; Völker, Markus; Wagner, Dorothea

Abstract:
We propose two novel algorithms for distributed and location-free boundary recognition in wireless sensor networks. Both approaches enable a node to decide autonomously whether it is a boundary node, based solely on connectivity information of a small neighborhood. This makes our algorithms highly applicable for dynamic networks where nodes can move or become inoperative.

We compare our algorithms qualitatively and quantitatively with several previous approaches. In extensive simulations, we consider various models and scenarios. Although our algorithms use less information than most other approaches, they produce significantly better results. They are very robust against variations in node degree and do not rely on simplified assumptions of the communication model. Moreover, they are much easier to implement on real sensor nodes than most existing approaches.

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Originalveröffentlichung
DOI: 10.1007/978-3-642-20662-7_33
Scopus
Zitationen: 3
Zugehörige Institution(en) am KIT Institut für Theoretische Informatik (ITI)
Publikationstyp Proceedingsbeitrag
Jahr 2011
Sprache Englisch
Identifikator ISBN: 978-3-642-20662-7
ISSN: 0302-9743, 1611-3349
KITopen-ID: 1000097646
Erschienen in Experimental Algorithms. 10th International Symposium, SEA 2011 Kolimpari, Chania, Crete, Greece, May 5-7, 2011. Proceedings Ed.: P. Pardalos
Verlag Springer, Berlin
Seiten 388–399
Serie Lecture Notes in Computer Science ; 6630
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