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Mobility causes network structures to change. In PSNs where underlyingnetwork structure is changing rapidly, we are interested in studying howinformation dissemination can be enhanced in a sparse disconnected networkwhere nodes lack the global knowledge about the network. We use beamforming tostudy the enhancement in the information dissemination process. In order toidentify potential beamformers and nodes to which beams should be directed weuse the concept of stability. We first predict the stability of a node in thedynamic network using truncated levy walk nature of jump lengths of humanmobility and then use this measure to identify beamforming nodes and the nodesto which the beams are directed. We also develop our algorithm such that itdoes not require any global knowledge about the network and works in adistributed manner. We also show the effect of various parameters such asnumber of sources, number of packets, mobility parameters, antenna parameters,type of stability used and density of the network on information disseminationin the network. We validate our findings with three validation model, nobeamforming, beamforming using different stability measure and when nostability measure is associated but same number of node beamform and theselection of the beamforming nodes is random. Our simulation results show thatinformation dissemination can be enhanced using our algorithm over othermodels.

Enhancing Information Dissemination in Dynamic Wireless Network using Stability and Beamforming