Title :
Analysis of Dynamic Sensor Networks: Power Law Then What?
Author :
Fleury, Eric ; Guillaume, Jean-loup ; Robardet, Celine ; Scherrer, Antoine
Author_Institution :
INRIA, INSA de Lyon, Lyon, France
Abstract :
Recent studies on wireless sensor networks (WSN) have shown that the duration of contacts and inter-contacts are power law distributed. While this is a strong property of these networks, we will show that this is not sufficient to describe properly the dynamics of sensor networks. We will present some coupled arguments from data mining, random processes and graph theory to describe more accurately the dynamics with the use of a random model to show the limits of an approach limited to power law contact durations.
Keywords :
data mining; graph theory; random processes; wireless sensor networks; data mining; graph theory; power law; random process; wireless sensor network; Data mining; Disruption tolerant networking; Frequency; Graph theory; Internet; Network topology; Random processes; Sensor phenomena and characterization; Wireless sensor networks; World Wide Web;
Conference_Titel :
Communication Systems Software and Middleware, 2007. COMSWARE 2007. 2nd International Conference on
Conference_Location :
Bangalore
Print_ISBN :
1-4244-0613-7
DOI :
10.1109/COMSWA.2007.382427