Next Article in Journal
Wireless Sensor Network-Based Greenhouse Environment Monitoring and Automatic Control System for Dew Condensation Prevention
Previous Article in Journal
Design and Development of a Run-Time Monitor for Multi-Core Architectures in Cloud Computing
Open AccessArticle

Optimal Rate Allocation in Cluster-Tree WSNs

1
Telecommunications and Systems Engineering Department, Universitat Autònoma de Barcelona, UAB Campus, 08193 Cerdanyola del Vall`es, Spain
2
IT, Multimedia and Telecommunications Department, Universitat Oberta de Catalunya, Rambla Poblenou, 156, 08018 Barcelona, Spain
3
World Sensing S.L., Baixada Gomis, 1, 08023 Barcelona, Spain
*
Author to whom correspondence should be addressed.
Sensors 2011, 11(4), 3611-3639; https://doi.org/10.3390/s110403611
Received: 26 January 2011 / Revised: 21 March 2011 / Accepted: 23 March 2011 / Published: 25 March 2011
(This article belongs to the Section Physical Sensors)
In this paper, we propose a solution to the problem of guaranteed time slot allocation in cluster-tree WSNs. Our design uses the so-called Network Utility Maximization (NUM) approach as far as we aim to provide a fair distribution of the available resources. From the point of view of implementation, we extend here the authors’ proposed Coupled-Decompositions Method (CDM) in order to compute the NUM problem inside the cluster tree topology and we prove the optimality of this new extended version of the method. As a result, we obtain a distributed solution that reduces the total amount of signalling information in the network up to a factor of 500 with respect to the classical techniques, that is, primal and dual decomposition. This is possible because the CDM finds the optimal solution with a small number of iterations. Furthermore, when we compare our solution to the standard-proposed First Come First Serve (FCFS) policy, we realize that FCFS becomes pretty unfair as the traffic load in the network increases and thus, a fair allocation of resources can be considered whenever the price to pay in terms of signalling and computational complexity is controlled. View Full-Text
Keywords: wireless sensor networks; contention free access; fair time slot allocation; distributed optimization; reduced signalling wireless sensor networks; contention free access; fair time slot allocation; distributed optimization; reduced signalling
Show Figures

Graphical abstract

MDPI and ACS Style

Morell, A.; Vicario, J.L.; Vilajosana, X.; Vilajosana, I.; Seco-Granados, G. Optimal Rate Allocation in Cluster-Tree WSNs. Sensors 2011, 11, 3611-3639.

Show more citation formats Show less citations formats

Article Access Map by Country/Region

1
Only visits after 24 November 2015 are recorded.
Back to TopTop