ABSTRACT
With the rapid growth of Internet of Things (IoT) and mobile communications, the need for QoS guarantees has become of primary importance, especially when hand-over events occur by Mobile Hosts (MHs) changing coverage areas during their active sessions; they may find scarce resource availability in new locations and the current active connections can be dropped. To the best of our knowledge, the only way to ensure QoS and service continuity to mobile users consists of making a bandwidth reservation over all the cells that a MH will visit during its active connection. There are many protocols able to ensure early reservations like Next Step In Signaling (NSIS) [1], Dynamic ReSerVation Protocol (DSRVP) [2] and Mobile ReSerVation Protocol (MRSVP) [3], but a prediction scheme is mandatory in order to know which coverage cells a user will probably visit during its Call Life Time (CLT). On the basis of previous works [4], [5], we considered the MRSVP, which gives the possibility to exchange the right communication messages among the predicted coverage cells, achieving the needed passive amount of bandwidth in the cells where the MH will probably hand-in. The same Markov model has been
and the dynamic programming approach leads to a new distributed prediction scheme, called Dynamic Markov Prediction Algorithm (DMPA), tested through extensive simulation studies. The rest of the paper is organized as follows: section II gives an overview of the existing related work, section III gives a detailed description of the proposed scheme, by considering the environment and the solution. Section IV shows our simulation results, then section V concludes the paper.
