The shortest path computation in MOSPF protocol using an annealed Hopfield neural network with a new cooling schedule

[[abstract]]Many network services, such as video conferencing and video on demand, have popularly used the multimedia communications. The attached hosts/routers are required to transmit data as multicasting in most multimedia applications. In order to provide an efficient data routing, routers must provide multicast capability. In this paper, a new cooling schedule in Hopfield neural network with annealing strategy is proposed to calculate the shortest path (SP) tree for multicast open shortest path first (MOSPF) protocol. The SP tree in multicast is built on demand and is rooted at the source node. To facilitate the hardware implementation, the annealed Hopfield neural network could be a good candidate to deal with SP problems in packet switching computer networks. In addition, it is proved that the proposed new cooling schedule is more suitable in all range of fixed temperature than the other demonstrated cooling schedules in the experimental results.[[fileno]]2030210030057[[department]]資訊工程學