This paper examines global context classification in peer-to-peer ad-hoc mobile wireless networks (P2P-MANETs). To begin, circumstances are presented in which such systems would be required to classify a global context. These circumstances are expounded upon by presenting concrete scenarios from which a set of requirements are derived. Using these requirements, related work is evaluated for applicability, indicating no adequate solutions. Algorithmic approaches are proposed, and analysis results in a benchmark as well as bounds for distribution of processing load, memory consumption and message passing in P2P-MANETs. © 2011 Springer-Verlag.
CITATION STYLE
Gordon, D., Scholz, M., Ding, Y., & Beigl, M. (2011). Global peer-to-peer classification in mobile ad-hoc networks: A requirements analysis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6967 LNAI, pp. 108–114). https://doi.org/10.1007/978-3-642-24279-3_12
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