By Attahiru S. Alfa, Vicent Pla, Jorge Martinez-Bauset, Vicente Casares-Giner (auth.), Vicente Casares-Giner, Pietro Manzoni, Ana Pont (eds.)
This e-book constitutes the refereed post-conference court cases of 4 workshops colocated with NETWORKING 2011, held in Valencia, Spain, in may possibly 2011: the Workshop on functionality review of Cognitive Radio Networks: From concept to fact, PE-CRN 2011, the community Coding functions and Protocols Workshop, NC-Pro 2011, the Workshop on instant Cooperative community safeguard, WCNS 2011, and the Workshop on Sustainable Networking, sundown 2011. The 28 revised complete papers awarded have been conscientiously reviewed and chosen from a number of submissions. The papers disguise a variety of subject matters addressing the most learn efforts within the fields of community coding, sustainable networking, protection in instant cooperative networks, and function evaluate of cognitive radio networks.
Read or Download NETWORKING 2011 Workshops: International IFIP TC 6 Workshops, PE-CRN, NC-Pro, WCNS, and SUNSET 2011, Held at NETWORKING 2011, Valencia, Spain, May 13, 2011, Revised Selected Papers PDF
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Additional resources for NETWORKING 2011 Workshops: International IFIP TC 6 Workshops, PE-CRN, NC-Pro, WCNS, and SUNSET 2011, Held at NETWORKING 2011, Valencia, Spain, May 13, 2011, Revised Selected Papers
Sample text
This work is motivated by the observation that the performance of SU networks with various channel aggregation strategies is not thoroughly analyzed through mathematical models. For example, in [5–7], the performance of an SU network when a channel for Primary Users (PUs) can be divided into several channels for SUs is analyzed based on a Continuous Time Markov Chain (CTMC) model. In [8, 9], the performance of several channel aggregation strategies when spectrum adaptation is not enabled is studied through CTMC models.
Jp , jp+1 , . . , jV ) ∈ C, p ∈ {W, . . , V − 1}, jp+1 > 0}, Do := F − F ∩ C, C := C ∪ Do , while Do = ∅ do F := {(i + 1, jW , . . , jp + 1, jp+1 − 1, . . , jV ) | ∀(i, jW , . . , jp , jp+1 , . . , jV ) ∈ Do , p ∈ {W, . . , V − 1}, jp+1 > 0}, D := F − F ∩ C, C := C ∪ D, Do := D. end while The blocking probability of SU services, Pb , is given by Pb = π(x). (1) x∈S,M−b(x) While PSD/power modeling methods combined with thresholding techniques provide a simple binary characterization of the spatial spectrum occupancy perception (Figure 6(a)), the approach depicted in Figure 5 provides a more sophisticated characterization (Figure 6(b)) by means of the probability that the spectrum is observed as busy depending on the specific DSA/CR user location, the considered scenario and the surrounding radio propagation environment. 40 5 M. L´ opez-Ben´ıtez and F. Casadevall Conclusions The development of the DSA/CR technology can significantly benefit from accurate and practical spectrum usage models.