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2019 | OriginalPaper | Buchkapitel

InterCriteria Analysis of Different Variants of ACO Algorithm for Wireless Sensor Network Positioning

verfasst von : Stefka Fidanova, Olympia Roeva

Erschienen in: Numerical Methods and Applications

Verlag: Springer International Publishing

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Abstract

Wireless sensor networks are formed by spatially distributed sensors, which communicate in a wireless way. This network can monitor various kinds of environment and physical conditions like movement, noise, light, humidity, images, chemical substances etc. A given area needs to be fully covered with minimal number of sensors and the energy consumption of the network needs to be minimal too. We propose several algorithms, based on Ant Colony Optimization, to solve the problem. We study the algorithms behaviour when the number of ants varies from 1 to 10. We apply InterCriteria analysis to study relations between proposed algorithms and number of ants and analyse correlation between them.

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Vorheriges Kapitel Subtraction of Two 2D Polygons with Some Matching Vertices

Nächstes Kapitel Description of Dynamics of Ellipsoidal Estimates of Reachable Sets of Nonlinear Control Systems with Bilinear Uncertainty

Atanassov, K.: Index Matrices: Towards an Augmented Matrix Calculus. Studies in Computational Intelligence, vol. 573. Springer, Basel (2014). https://doi.org/10.1007/978-3-319-10945-9CrossRefMATH

Atanassov, K.: Intuitionistic Fuzzy Sets, VII ITKR Session, Sofia, 20–23 June 1983 (1983). Reprinted: Int J Bioautomation, 20(S1), 2016, S1–S6MathSciNetCrossRef

Atanassov, K.: Review and New Results on Intuitionistic Fuzzy Sets, Mathematical Foundations of Artificial Intelligence Seminar, Sofia (1988). Preprint IM-MFAIS-1-88, Reprinted: Int J Bioautomation, 20(S1), 2016, S7–S16MathSciNetCrossRef

Atanassov, K., Atanassova, V., Gluhchev, G.: InterCriteria analysis: ideas and problems. Notes Intuitionistic Fuzzy Sets 21(2), 81–88 (2015)MATH

Atanassov, K., Mavrov, D., Atanassova, V.: Intercriteria decision making: a new approach for multicriteria decision making based on index matrices and intuitionistic fuzzy sets. Issues IFSs GNs 11, 1–8 (2014)

Atanassov, K., Szmidt, E., Kacprzyk, J.: On intuitionistic fuzzy pairs. Notes Intuitionistic Fuzzy Sets 19(3), 1–13 (2013)CrossRef

Fidanova, S., Marinov, P., Alba, E.: Ant algorithm for optimal sensor deployment. In: Madani, K., Correia, A.D., Rosa, A., Filipe, J. (eds.) Computational Intelligence, Studies of Computational Intelligence, vol. 399, pp. 21–29. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-27534-0_2CrossRef

Fidanova, S., Marinov, P., Paprzycki, M.: Influence of the number of ants on multi-objective ant colony optimization algorithm for wireless sensor network layout. In: Lirkov, I., Margenov, S., Waśniewski, J. (eds.) LSSC 2013. LNCS, vol. 8353, pp. 232–239. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-43880-0_25CrossRef

10.

Fidanova, S., Shindarov, M., Marinov, P.: Wireless sensor positioning using ACO algorithm. In: Sgurev, V., Yager, R.R., Kacprzyk, J., Atanassov, K.T. (eds.) Recent Contributions in Intelligent Systems. SCI, vol. 657, pp. 33–44. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-41438-6_3CrossRef

11.

Fidanova, S., Roeva, O., Paprzycki, M., Gepner, P.: InterCriteria analysis of ACO start startegies. In: Proceedings of the 2016 Federated Conference on Computer Science and Information Systems, pp. 547–550 (2016)

12.

Hernandez, H., Blum, C.: Minimum energy broadcasting in wireless sensor networks: an ant colony optimization approach for a realistic antenna model. J. Appl. Soft Comput. 11(8), 5684–5694 (2011)CrossRef

13.

Ikonomov, N., Vassilev, P., Roeva, O.: ICrAData - software for InterCriteria analysis. Int. J. Bioautomation 22(1), 1–10 (2018)CrossRef

14.

Jourdan, D.B.: Wireless sensor network planning with application to UWB localization in GPS-denied environments, Massachusets Institute of Technology, Ph.D. thesis (2000)

15.

Konstantinidis, A., Yang, K., Zhang, Q., Zainalipour-Yazti, D.: A multiobjective evolutionary algorithm for the deployment and power assignment problem in wireless sensor networks. J. Comput. Netw. 54(6), 960–976 (2010)CrossRef

16.

Molina, G., Alba, E., Talbi, E.G.: Optimal sensor network layout using multi-objective Metaheuristics. Univers. Comput. Sci. 14(15), 2549–2565 (2008)

17.

Pottie, G.J., Kaiser, W.J.: Embedding the internet: wireless integrated network sensors. Commun. ACM 43(5), 51–58 (2000)CrossRef

18.

Krawczak, M., Bureva, V., Sotirova, E., Szmidt, E.: Application of the InterCriteria decision making method to universities ranking. In: Atanassov, K.T., et al. (eds.) Novel Developments in Uncertainty Representation and Processing. AISC, vol. 401, pp. 365–372. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-26211-6_31CrossRef

19.

Todinova, S., Mavrov, D., Krumova, S., Marinov, P., Atanassova, V., Atanassov, K., Taneva, S.G.: Blood plasma thermograms dataset analysis by means of InterCriteria and correlation analyses for the case of colorectal cancer. Int. J. Bioautomation 20(1), 115–124 (2016)

20.

Wolf, S., Merz, P.: Evolutionary local search for the minimum energy broadcast problem. In: van Hemert, J., Cotta, C. (eds.) EvoCOP 2008. LNCS, vol. 4972, pp. 61–72. Springer, Heidelberg (2008). https://doi.org/10.1007/978-3-540-78604-7_6CrossRef

21.

Xu, Y., Heidemann, J., Estrin, D.: Geography informed energy conservation for ad hoc routing. In: Proceedings of the 7th ACM/IEEE Annual International Conference on Mobile Computing and Networking, Italy, pp. 70–84 (2001)

Titel: InterCriteria Analysis of Different Variants of ACO Algorithm for Wireless Sensor Network Positioning
verfasst von: Stefka Fidanova
Olympia Roeva
Verlag: Springer International Publishing
Buch: Numerical Methods and Applications
Print ISBN: 978-3-030-10691-1

Electronic ISBN: 978-3-030-10692-8

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-10692-8_10

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