Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. The payoff received by the controller can be evaluated in different ways, dep...
—For higher streaming quality, a data sender adjusts the data transmission rate according to the network condition between the sender and receiver. The sender and the receiver ex...
—A new variation of the Flow-Aware Networking (FAN) concept is presented in the paper. The proposed solution is based on the Approximate Fair Dropping algorithm and called by us ...
—The pervasive distribution of digital images triggers an emergent need of authenticating degraded images by lossy compression and transmission. This paper proposes a robust cont...
Many-to-many multicast transmission is an essential network capability for scalable distributed simulation. The many open issues that make network-layer multicast impractical over...