Jorge Crichigno

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The use of multiple channels can substantially improve the performance of wireless mesh networks. Considering that the IEEE PHY specification permits the simultaneous operation of three non-overlapping channels in the 2.4 GHz band and 12 non-overlapping channels in the 5 GHz band, a major challenge in wireless mesh networks is how to efficiently assign(More)
This paper presents a new version of a multiobjective multicast routing algorithm (MMA) for traffic-engineering, based on the strength Pareto evolutionary algorithm (SPEA), which simultaneously optimizes the maximum link utilization, the cost of the tree, the maximum end-to-end delay and the average delay. In this way, a set of optimal solutions, known as(More)
This paper presents a new multiobjective multicast routing algorithm (MMA) based on the Strength Pareto Evolutionary Algorithm (SPEA), which simultaneously optimizes the cost of the tree, the maximum end-to-end delay, the average delay and the maximum link utilization. In this way, a set of optimal solutions, known as Pareto set, is calculated in only one(More)
The routing problem in Wireless Mesh Networks is concerned with finding “good” source-destination paths. It generally faces multiple objectives to be optimized, such as i) path capacity, which accounts for the bits per second that can be sent along the path connecting the source to the destination node, and ii) end-to-end delay. This paper presents the Mesh(More)
In this paper, we address the minimum length scheduling problem in wireless networks, where each transmitter has a finite amount of data to deliver to a common receiver node (e.g., base station). In contrast with previous works that model wireless channels according to the Protocol or Physical model of interference, this paper studies the scheduling problem(More)
This paper presents a new traffic engineering multitreemultiobjective multicast routing algorithm (M-MMA) that solves for the first time the GMM model for Dynamic Multicast Groups. Multitree traffic engineering uses several trees to transmit a multicast demand from a source to a set of destinations in order to balance traffic load, improving network(More)
In this paper, we present a multi-objective Integer Linear Program (ILP) for the joint throughput optimization and traffic engineering problem in Wavelength-Division Multiplexing (WDM) networks. The proposed model simultaneously maximizes the aggregated throughput, minimizes the resource consumption, and achieves load balancing by minimizing the maximum(More)
In this paper, we present a linear programming formulation for the throughput optimization problem in wireless networks that support multi-packet reception (MPR) capability. The formulation takes into account the use of both directional and omni-directional antennas as well as the use of multiple transmitter interfaces per node. The joint routing and(More)