Senses Lab

SEnsors NetworkS and Embedded Systems Laboratory

Center for Cyber Intelligence and Information Security

Modeling and estimation of partially observed WLAN activity for cognitive WSNs

Research Area: Cognitive radio networking Year: 2012
Type of Publication: In Proceedings
Authors: M. Laganà; I. Glaropoulos; V. Fodor; Chiara Petrioli
Book title: IEEE Wireless Communications and Networking Conference (WCNC)
Pages: 1526-1531
Organization: IEEE
Efficient communication in the crowded ISM band requires the communication networks to be aware of the networking environment and to control their communication protocols accordingly. In this paper we address the issue of efficient WSN communication under WLAN interference. We propose analytic models to describe the WLAN idle time distributions as observed by the WSN nodes, together with efficient methods for parameter estimation. We evaluate how the spectrum sensing capability of the sensors affects the performance of the idle period distribution estimation and conclude that the proposed solutions are accurate enough to support cognitive WSNs.
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