Complex-network-inspired design of traffic generation patterns in communication networks
In this brief, we consider a generic type of communication network consisting of two kinds of
nodes, ie, hosts and routers, and only the hosts can generate and receive packets. In this
kind of network, the traffic performance is closely related to the traffic generation pattern,
which strongly depends on the hosts' locations. We employ a simulated annealing algorithm
to find a near-optimal configuration of the hosts, which effectively balances the traffic loads
and improves the overall traffic performance. Our study suggests that the traffic generation …
nodes, ie, hosts and routers, and only the hosts can generate and receive packets. In this
kind of network, the traffic performance is closely related to the traffic generation pattern,
which strongly depends on the hosts' locations. We employ a simulated annealing algorithm
to find a near-optimal configuration of the hosts, which effectively balances the traffic loads
and improves the overall traffic performance. Our study suggests that the traffic generation …
In this brief, we consider a generic type of communication network consisting of two kinds of nodes, i.e., hosts and routers, and only the hosts can generate and receive packets. In this kind of network, the traffic performance is closely related to the traffic generation pattern, which strongly depends on the hosts' locations. We employ a simulated annealing algorithm to find a near-optimal configuration of the hosts, which effectively balances the traffic loads and improves the overall traffic performance. Our study suggests that the traffic generation pattern is an important factor for communication network design.
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