Abstract
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.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Brueckner, S.A., Van Dyke Parunak, H.: Swarming distributed pattern detection and classification. In: Weyns, D., Van Dyke Parunak, H., Michel, F. (eds.) E4MAS 2004. LNCS (LNAI), vol. 3374, pp. 232–245. Springer, Heidelberg (2005)
Caragea, D., Silvescu, A., Honavar, V.: A framework for learning from distributed data using sufficient statistics and its application to learning decision trees. Int. J. Hybrid Intell. Syst. 1, 80–89 (2004)
Dasgupta, P.: A multiagent swarming system for distributed automatic target recognition using unmanned aerial vehicles. IEEE Transactions on Systems, Man and Cybernetics, Part A: Systems and Humans 38(3), 549–563 (2008)
Gordon, D., Sigg, S., Ding, Y., Beigl, M.: Using prediction to conserve energy in recognition on mobile devices. In: 9th International Conference on Pervasive Computing and Communications, PERCOM Workshops (2011)
Lu, G., Xue, W.: Adaptive weighted fusion algorithm for monitoring system of forest fire based on wireless sensor networks. In: International Conference on Computer Modeling and Simulation, vol. 4, pp. 414–417 (2010)
Luo, P., Xiong, H., Lü, K., Shi, Z.: Distributed classification in peer-to-peer networks. In: Proceedings of the 13th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2007, pp. 968–976. ACM, New York (2007)
Natarajan, R., Sion, R., Phan, T.: A grid-based approach for enterprise-scale data mining. Future Gener. Comput. Syst. 23, 48–54 (2007)
Paskin, M.A., Guestrin, C.E.: Robust probabilistic inference in distributed systems. In: Proceedings of the 20th Conference on Uncertainty in Artificial Intelligence, UAI 2004, pp. 436–445. AUAI Press, Arlington (2004)
Schollmeier, R.: A definition of peer-to-peer networking for the classification of peer-to-peer architectures and applications. In: Proceedings. First International Conference on Peer-to-Peer Computing, pp. 101–102 (August 2001)
Scholz, M., Flehmig, G., Schmidtke, H.R., Scholz, G.H.: Powering smart home intelligence using existing entertainment systems. In: the 7th International Conference on Intelligent Environments, IE 2011 (2011)
Scholz, M., Riedel, T., Decker, C.: A flexible architecture for a robust indoor navigation support device for firefighters. In: Proceedings of the 7th International Conference on Networked Sensing Systems (2010)
Schubert, E., Scholz, M.: Evaluation of wireless sensor technologies in a firefighting environment. In: Proceedings of the 7th International Conference on Networked Sensing Systems (2010)
Sigg, S., Beigl, M.: Expectation aware in-network context processing. In: Proceedings of the 4th ACM International Workshop on Context-Awareness for Self-Managing Systems, CASEMANS 2010. ACM, New York (2010)
Wittenburg, G., Dziengel, N., Wartenburger, C., Schiller, J.: A system for distributed event detection in wireless sensor networks. In: IPSN 2010: Proceedings of the 9th ACM/IEEE International Conference on Information Processing in Sensor Networks. ACM, New York (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gordon, D., Scholz, M., Ding, Y., Beigl, M. (2011). Global Peer-to-Peer Classification in Mobile Ad-Hoc Networks: A Requirements Analysis. In: Beigl, M., Christiansen, H., Roth-Berghofer, T.R., Kofod-Petersen, A., Coventry, K.R., Schmidtke, H.R. (eds) Modeling and Using Context. CONTEXT 2011. Lecture Notes in Computer Science(), vol 6967. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24279-3_12
Download citation
DOI: https://doi.org/10.1007/978-3-642-24279-3_12
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-24278-6
Online ISBN: 978-3-642-24279-3
eBook Packages: Computer ScienceComputer Science (R0)