DocumentCode :
1613785
Title :
A component-based architecture for adaptive bandwidth allocation in Wireless Sensor Networks
Author :
Santinelli, Luca ; Chitnis, Mangesh ; Nastasi, Christian ; Checconi, Fabio ; Lipari, Giuseppe ; Pagano, Paolo
Author_Institution :
Scuola Superiore Sant´´Anna, Pisa, Italy
fYear :
2010
Firstpage :
174
Lastpage :
183
Abstract :
In this paper we investigate the problem of reactive on-line bandwidth allocation in adaptive Wireless Sensor Networks. In adaptive WSN for monitoring applications, nodes can react to physical events by adapting their behavior, for instance increasing the amount of computation to be performed, or reducing the amount of consumed energy. Accordingly, the nodes may increase or decrease their bandwidth requirements. Hence, a reconfiguration algorithm is needed to reallocate the bandwidth to the different nodes, to maximize a certain global quality index. To address this problem, we first present a component-based methodology to model nodes and cluster of nodes as components. Then, we use this methodology to decompose the global optimization problem into simpler local problems, so to enable the design of scalable heuristic algorithms. We propose two different heuristic algorithms, and we compare their performance by extensive simulations against a global optimization procedure based on the Simplex algorithm. We demonstrate that our proposed heuristics perform very well under almost all circumstances.
Keywords :
bandwidth allocation; telecommunication network topology; wireless sensor networks; Simplex algorithm; adaptive bandwidth allocation; component-based architecture; global quality index; reactive online bandwidth allocation; wireless sensor networks; Bandwidth; Channel allocation; Network topology; Optimization; Real time systems; Topology; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Embedded Systems (SIES), 2010 International Symposium on
Conference_Location :
Trento
Print_ISBN :
978-1-4244-5839-4
Electronic_ISBN :
978-1-4244-5840-0
Type :
conf
DOI :
10.1109/SIES.2010.5551381
Filename :
5551381
Link To Document :
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