Prediction based handover for multiclass traffic in wireless mobile networks : An agent based approach

The critical period in cellular communication is the handoff execution, since data and connection may be lost if enough bandwidth is not available in the target cell. Thus cellular wireless networks require an efficient handoff management scheme to cope up with frequent mobile node handoffs, connection breaks and rerouting. This position paper proposes a prediction based handover model for multiclass traffic in wireless mobile networks by using software agents, considering two cases, i.e., local handoff (between base station controllers (BSC's) connected to same mobile switching center (MSC)) and global handoff (between BSC's connected to different MSC). Local and global handoff decisions are made by agent in mobile node based on speed of mobile node, i.e., for high speeds, global handoff is executed. In local handoff, agents at a mobile node in cooperation with the agents in connected BSC predict the candidate set of BSC's for handoff within the same MSC coverage. In global handoff, the candidate set of BSC's that belong to different MSC (neighbor MSC) are predicted. The predictions are based upon the speed and moving direction of the mobile node. The scheme predicts location and provides necessary information for advance bandwidth (resource) reservation and optimal route establishment.