Daniel Alonso-Roman

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Carrier Sense Multiple Access protocols are the most widely used methods for collision avoidance in Wireless Sensor Networks (WSNs). These protocols are prone to suffer from the hidden and exposed terminal problems, which lead to inefficiency and unfairness in the communications. Both problems are particularly significant in applications with massive(More)
An essential process in a Wireless Sensor Network is the noise mitigation of the measured data, by exploiting their spatial correlation. A widely used technique to achieve this reduction is to project the measured data into a proper subspace. We present a low complexity and distributed algorithm to perform this projection. Unlike other algorithms existing(More)
Wireless Sensor Networks have emerged as a very powerful tool for the monitoring and control, over large areas, of diverse phenomena. One of the most appealing properties of these networks is their potentiality to perform complex tasks in a total distributed fashion, without requiring a central entity. In this scenario, where nodes are constrained to use(More)
Event detection is a crucial tasks in wireless sensor networks. The importance of a fast response makes distributed strategies, where nodes exchange information just with their one-hop neighbors to reach local decisions, more adequate than schemes where all nodes send observations to a central entity. Distributed detectors are usually based on average(More)
Consensus algorithms are simple processes that involve repeated communications between the nodes of the network until a consensus is reached with certain accuracy. In this setting, the lifetime of the network and the total required energy not only depend on the number of iterations needed to achieve consensus, but also on the power consumption per node and(More)
The appearance of biofilm has become a serious problem in many reverse osmosis based systems such as the ones found in water treatment and desalination plants. In these systems, the use of traditional techniques such as pretreatment or dozing biocides are not effective when the biofilm reaches an irreversible attachment phase. In this work, we present a(More)
The inaccuracy of the measurements collected by sensor nodes in a Wireless Sensor Network motivates the use of appropriate techniques for reducing this observation error. One of the most widely used method consists of projecting orthogonally the observation signal onto a subspace of interest. The in-network processing nature of these architectures suggests(More)
The estimation of a parameter corrupted by noise is a common tasks in wireless sensor networks, where the deployed nodes cooperate in order to improve their own inaccurate observations. This cooperation usually involves successive data exchanges and local information updates until a global consensus value is reached. The quality of the final estimator(More)
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