Exploiting traffic sampling techniques for mobile peer networking
Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing: Connecting the World Wirelessly
| Hi-index | 0.00 |
In this paper we propose Rank-Based Broadcast (RBB) algorithm using High Order Markov Chain (HOMC) with weight values in mobile p2p ad-hoc networks (MOPNET) for ubiquitous. RBB using HOMC focuses on the first step to improve the performance of Ubiquitous broadcast computing. The proposed model is characterized by its ability to optimize the receiving query and sending report for broadcasting with probabilistic priority by Markov assumption. Moreover, our model enhanced the reliability of broadcasting by weight value. In this paper we also set up a mobile p2p ad-hoc networks by Qualnet simulator which created the value of the specific configuration of mobile units and estimated the performance our model with other algorithm or ideal case.