Jorge Crichigno

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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)
Multicast routing problem in computer networks, with more than one objective to consider, like cost and delay, is usually treated as a mono-objective Optimization Problem, where the cost of the tree is minimized subject to a priori restrictions on the delays from the source to each destination. This paper presents a new multicast algorithm based on the(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)
—In this paper, we present a multi-objective Integer Linear Program (ILP) for the joint throughput optimization and traffic engineering problem in Wavelength-Division Multi-plexing (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 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(More)
Recent advances in the physical layer have enabled the simultaneous reception of multiple packets by a node in wireless networks. We address the throughput optimization problem in wireless networks that support multipacket reception (MPR) capability. The problem is modeled as a joint routing and scheduling problem, which is known to be NP-hard. The(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(More)