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It is essential for a network to support guaranteed quality-of-service (QoS) for some applications on Internet. Robustness of the network plays an important role to achieve the basic QoS requirements to support real-time applications. Though it has been achieved through various single path routing mechanisms but to provide the robustness and availability to the network, multiple paths have to be selected...
With the development of network, users'services put forward diverse demands on the network QoS (Quality of Service), the QoS routing is the optimization problem under the satisfaction of multiple QoS constraints. This paper firstly sets up a multi-constrained QoS routing model and constructs the fitness value function by transforming the QoS constraints with a penalty function. Secondly, we merge...
QoS multicast routing problem is a nonlinear combination optimization problem, which has been proved to be a NP complete problem. a hybrid algorithm with ant colony optimization algorithm(ACO) and particle a warm optimization algorithm(PSO) is presented. The ACO-GA algorithm absorbs the merits of ACO and GA respectively. In hybrid algorithm, the position update of PSO is used to regulate the solution...
This paper presents a new QoS multicast routing algorithm TPMA for MPLS-TE. The algorithm first modifies the evolution equation to improve standard PSO, and then utilizes TS technique to realize the balance of global and local search, further combines Fitness function to enhanced the global search ability, simultaneously considers other QoS parameters. The main objective of TPMA is to build a QoS...
Anycast is a new type of communication service, and has been defined as a standard communication mode of the IPv6. With the more and more application need of anycast service, anycast routing problem (ARP) has recently become an important topic to study. An anycast routing algorithm based on genetic algorithm and particle swarm optimization is proposed in this paper. The algorithm overcomes the disadvantages...
In this paper, we proposed a novel probability convergence based particle swarm optimization algorithm for the multiple constrained QoS multicast routing. This algorithm is inspired from the probability convergence attributes. The main contents of this paper includes: (1) A novel particle sorting rule of swarm are designed. (2) A novel probability convergence mechanism is developed in the position...
Anycast is a new ldquoone-to-one-of-manyrdquo communication method in IPv6 networks. QoS anycast routing problem is a nonlinear combination optimization problem, which is proved to be a NP complete problem. Based on improved particle swarm optimization algorithm, an anycast routing algorithm with multiple QoS constraints is proposed. This algorithm uses a special add operator to make the worst path...
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