DocumentCode
2991758
Title
ASH: Tackling Node Mobility in Large-Scale Networks
Author
Pruteanu, Andrei ; Dulman, Stefan ; Langendoen, Koen
Author_Institution
Delft Univ. of Technol., Delft, Netherlands
fYear
2010
fDate
Sept. 27 2010-Oct. 1 2010
Firstpage
144
Lastpage
153
Abstract
With an increased adoption of technologies like wireless sensor networks by real-world applications, dynamic network topologies are becoming the rule rather than the exception. Node mobility, however, introduces a range of problems (communication interference, path uncertainty, low quality of service and information loss, etc.) that are not handled well by periodically refreshing state information, as algorithms designed for static networks typically do. The main contribution of this paper is the introduction of a novel mechanism (called ASH) for the creation of a quasi-static overlay on top of a mobile topology. It is powered by simple, local interactions between nodes and exhibits self-healing and self-organization capabilities with respect to failures and node mobility. We show that the overlay mechanism works without assumptions about position, orientation, speed, motion correlation, and trajectory prediction of the nodes. A preliminary evaluation by means of simulation shows that ASH succeeds in tackling node mobility, while consuming only minimal resources.
Keywords
large-scale systems; mobility management (mobile radio); telecommunication network topology; wireless sensor networks; ASH; large-scale networks; mobile networks; mobile topology; network topology; node mobility tackling; quasistatic overlay; wireless sensor networks; Ash; Clustering algorithms; Lead; Mobile communication; Mobile computing; Network topology; Synchronization; clustering algorithm; mobile networks; self-adaptive networks; self-configuring networks; static overlay;
fLanguage
English
Publisher
ieee
Conference_Titel
Self-Adaptive and Self-Organizing Systems (SASO), 2010 4th IEEE International Conference on
Conference_Location
Budapest
Print_ISBN
978-1-4244-8537-6
Electronic_ISBN
978-0-7695-4232-4
Type
conf
DOI
10.1109/SASO.2010.33
Filename
5630460
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