DocumentCode :
2163764
Title :
Random Geometric Graphs as model of Wireless Sensor Networks
Author :
Kenniche, Hichem ; Ravelomananana, Vlady
Author_Institution :
CNRS, Univ. Paris 13, Villetaneuse, France
Volume :
4
fYear :
2010
fDate :
26-28 Feb. 2010
Firstpage :
103
Lastpage :
107
Abstract :
Wireless Sensor Networks (WSN) are likely to be widely deployed in the near future because they greatly extend our ability to monitor and control the physical environment. Finding a good network model for WSN is of great importance and has been the subject of several publications. Many models have their origin in classic areas of theoretical computer science and applied mathematics: regardless of the radio technology used, from the topology point of view, at any instant in time a WSN can be represented as a graph with a set of vertices consisting of the nodes of the network and a set of edges consisting of the links between the nodes. However, future applications will involve a large number of sensors to deploy on inaccessible areas, leading to a random deployment which makes the classical graph models obsolete. In this paper, we show that the random strategy is the only way to deploy future WSN and therefore the modeling with Random Geometric Graphs is the most appropriate.
Keywords :
graphs; wireless sensor networks; WSN; random deployment; random geometric graphs; random strategy; wireless sensor networks; Algorithm design and analysis; Batteries; Collaboration; Computer networks; Law enforcement; Monitoring; Routing; Sensor phenomena and characterization; Solid modeling; Wireless sensor networks; Future Applications of Wireless Sensor Networks; Modeling; Random Deployment; Random Geometric Graph; Wireless Sensor Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Automation Engineering (ICCAE), 2010 The 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-5585-0
Electronic_ISBN :
978-1-4244-5586-7
Type :
conf
DOI :
10.1109/ICCAE.2010.5451758
Filename :
5451758
Link To Document :
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