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Browsing by Autor "Luis Cobo"

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    A Location Routing Protocol based on Smart Antennas for Wireless Sensor Networks
    (Indian Society for Education and Environment, 2015) Luis Cobo; Harold Castro; Alejandro Quintero
    The task of finding and maintaining routes in a Wireless Sensor Networks is a nontrivial task since energy restrictions and sudden changes in node status (e.g. failure) cause frequent and unpredictable topological changes. This work introduces a novel location routing protocol that uses smart antennas to estimate nodes positions into the network and to deliver information basing routing decisions on neighbor’s status connection and relative position, named LBRA. The main purpose of LBRA is to eliminate network control overhead as much as possible. To achieve this goal, the algorithm employs local position for route decision, implements a novel mechanism to collect the location information and involves only route participants in the synchronization of location information. In addition, the protocol uses node battery information to make power aware routing decisions. In order to asses LBRA a series of simulations were designed with the help of the Network Simulator 2 (ns2). The experiment results showed that LBRA succeed in reducing the control overhead and the routing load, improving the packet delivery rate. Additionally, network power depletion is more balanced, since routing decisions are made depending on nodes’ battery level Keywords: Local Positioning, Routing Protocol, Smart Antennas, Wireless Sensor Networks
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    A novel cooperative ant-based clustering approach for wireless multimedia sensor networks
    (2015) Luis Cobo
    ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA
 This Cluster has been well received as one of the most effective solutions to enhance energy efficiency and scalability of large-scale wireless sensor networks. However, it is rather challenging to conforma cohesive group of Clusters having permanent communication among Cluster heads. In this paper, a unique look at the Cluster head election problem is taken into account, specifically concentrating on applications in which the formation and maintenance of a virtual backbone among Cluster heads is the main requirement. Our approach for Cluster-based network organization is based on the use of collective social agents in order to lead the formation of these Clusters. Our algorithm uses ants to choose good Cluster head candidates and to create a virtual backbone among these router nodes.

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