Abstract
This work addresses the processing of top-k queries in mobile ad hoc peer to peer (M-P2P) networks using economic schemes. Our proposed economic model, designated as EcoTop, issues economic rewards to the mobile peers, which send relevant data items (i.e., those that contribute to the top-k query result), and penalizes peers for sending irrelevant items, thereby incentivizing the optimization of communication traffic. The main contributions of our work are three-fold. First, we propose the EcoTop economic model for efficient top-k query processing in M-P2P networks. Second, we propose two schemes, namely ETK and ETK+, for assigning rewards/penalties to peers and for enabling peers to re-evaluate the scores of their data items for item re-ranking purposes. Third, we conduct a performance study, which demonstrates that EcoTop is indeed effective in improving the performance of top-k queries, while minimizing the communication traffic. Notably, our novel economic incentive model also discourages free-riding in M-P2P networks.
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Padhariya, N., Mondal, A., Goyal, V., Shankar, R., Madria, S.K. (2011). EcoTop: An Economic Model for Dynamic Processing of Top-k Queries in Mobile-P2P Networks. In: Yu, J.X., Kim, M.H., Unland, R. (eds) Database Systems for Advanced Applications. DASFAA 2011. Lecture Notes in Computer Science, vol 6588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20152-3_19
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DOI: https://doi.org/10.1007/978-3-642-20152-3_19
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