Probabilistic Bandwidth Assignment in Wireless Sensor Networks

Dawood Khan 1 Bilel Nefzi 2 Luca Santinelli 1 Ye-Qiong Song 2
1 TRIO - Real time and interoperability
Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services
2 MADYNES - Management of dynamic networks and services
Inria Nancy - Grand Est, LORIA - NSS - Department of Networks, Systems and Services
Abstract : With this paper we offer an insight in designing and analyzing wireless sensor networks in a versatile manner. Our framework applies probabilistic and component-based design principles for the wireless sensor network modeling and consequently analysis; while maintaining flexibility and accuracy. In particular, we address the problem of allocating and reconfiguring the available bandwidth. The framework has been successfully implemented in IEEE 802.15.4 using an Admission Control Manager (ACM); which is a module of the MAC layer that guarantees that the nodes respect their probabilistic bandwidth assignment as well as the bandwidth assignment policy applied. The proposed framework also aims to accurately analyze the behaviors of communication protocols for energy-consumption and reliability purposes. We evaluate the probabilistic bandwidth assignment methods using CSMA/CA access protocol of IEEE 802.15.4. Furthermore, we analyze the behavior of the ACM and compare the performance of the network with and without using the ACM against the original standard. The simulation results show that the use of ACM increases the overall performance of the network.
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Wang, X.; Zheng, R.; Jing, T.; Xing, K. The 7th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2012), Aug 2012, Yellow Mountains, China. Springer, 7405, pp.631-647, 2012, Lecture Notes in Computer Science
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Dawood Khan, Bilel Nefzi, Luca Santinelli, Ye-Qiong Song. Probabilistic Bandwidth Assignment in Wireless Sensor Networks. Wang, X.; Zheng, R.; Jing, T.; Xing, K. The 7th International Conference on Wireless Algorithms, Systems, and Applications (WASA 2012), Aug 2012, Yellow Mountains, China. Springer, 7405, pp.631-647, 2012, Lecture Notes in Computer Science. 〈hal-00745184〉

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