Hybrid Retrieval Mechanisms in Vehicle-Based P2P Networks
ICCS '09 Proceedings of the 9th International Conference on Computational Science: Part I
Efficient information retrieval in mobile peer-to-peer networks
Proceedings of the 18th ACM conference on Information and knowledge management
Efficient best path monitoring in road networks for instant local traffic information
ADC '10 Proceedings of the Twenty-First Australasian Conference on Database Technologies - Volume 104
A resource discovery scheme for mobile peer-to-peer networks with data dissemination
ICHIT'11 Proceedings of the 5th international conference on Convergence and hybrid information technology
An efficient clustering method for unstructured mobile peer-to-peer networks
Proceedings of the 2011 ACM Symposium on Research in Applied Computation
A multi-hop advertising discovery and delivering protocol for multi administrative domain MANET
Mobile Information Systems
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To explore the benefit of advertising instant and location-aware commercials that can not be effectively promoted by traditional medium like TV program and Internet, we propose in this paper a solution for disseminating instant advertisements to users within the area of interest through a Mobile Peer-to-Peer Network. This is a new application scenario, and we devise an opportunistic gossiping model for advertisement propagation with spatial and temporal constraints. As bandwidth and computational resources are limited in a wireless environment, two optimization mechanisms utilizing distance and velocity information are provided for reducing redundant advertising messages. User interest is also considered as another critica factor in adjusting the advertisement propagation model, and we adopt the FM algorithm to achieve efficient counting of distinct users' interests. Finally, we study the performance of our solution through simulation in NS-2. Compared with the naive flooding method, our approach achieves high quality delivery rate while reducing the number of messages by nearly an order of magnitude.