How to cite this paper
Amiri, E., Harounabadi, A & Mirabedini, S. (2012). Nodes clustering using Fuzzy logic to optimize energy consumption in Mobile Ad hoc Networks (MANET).Management Science Letters , 2(8), 3031-3040.
Refrences
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Baker, D., J., & Ephremides, A. (1981). The architectural organization of a mobile radio network via a distributed algorithm. IEEE Transactions on Communications, 29(11), 1694–1701.
Basagni, S., Chlamtac, I. & Farago, A. (1997). A generalized clustering algorithm for peer-to-peer networks. In Proceedings of Workshop on Algorithm icaspect of communication (satellite workshop of ICALP)
Basagni, S. (1999). Distributed clustering for ad hoc networks. In Proceedings of International symposium on parallel architectures, algorithms and networks, 310–315.
Boleng, J., Camp, T., & Davies, V. (2002). A survey of mobility models for ad hoc network research. Wireless Communications and Mobile Computing (WCMC): Special Issue on Mobile Ad Hoc Networking: Research. Trends and Applications, 2(5), 483–502.
Chatterjee, M., Das, S.K., & Turgut, D. (2002). WCA: A weighted clustering algorithm for mobile Ad Hoc networks. Cluster Computing, 5, 193–204
Dastgheib, S. J., Oulia, H. & Sadeqi, G. M. R. ( 2011 ). An efficient approach for clustering in wireless sensor network using fuzzy logic. International Conference on Computer Science and Network Technology.
Ghazanfari, M., & Rezaie, M. (2006). An introduction to fuzzy sets theory. Tehran: Iran University of Science and Technology press.
Hoebeke, J., Moerman, J., Dhoedt, B. & Demeester, P. (2004). An Overview of Mobile Ad Hoc Networks: Applications and Challenges. Journal of the Communications Network, 3, 60-66
Hogie, L. (2007). Mobile Ad Hoc Networks: Modeling, Simulation and Broadcast-based Applications. PhD thesis.
IEEE Computer Society (2007). IEEE standard for Information technology telecommunications and information exchange between systems local and metropolitan area networks Specific requirements.
Parekh, A.K. (1994). Selecting routers in ad hoc wireless network. In Proceedings of the SBT/IEEE International Telecommunication Symposium ITS.
Reineck, K.M. (2008). Evaluation and Comparison of Network Simulation Tools. Master Thesis.
Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning – I. Information Sciences, 8, 199–249.
Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8, 338–353.
Baker, D., J., & Ephremides, A. (1981). The architectural organization of a mobile radio network via a distributed algorithm. IEEE Transactions on Communications, 29(11), 1694–1701.
Basagni, S., Chlamtac, I. & Farago, A. (1997). A generalized clustering algorithm for peer-to-peer networks. In Proceedings of Workshop on Algorithm icaspect of communication (satellite workshop of ICALP)
Basagni, S. (1999). Distributed clustering for ad hoc networks. In Proceedings of International symposium on parallel architectures, algorithms and networks, 310–315.
Boleng, J., Camp, T., & Davies, V. (2002). A survey of mobility models for ad hoc network research. Wireless Communications and Mobile Computing (WCMC): Special Issue on Mobile Ad Hoc Networking: Research. Trends and Applications, 2(5), 483–502.
Chatterjee, M., Das, S.K., & Turgut, D. (2002). WCA: A weighted clustering algorithm for mobile Ad Hoc networks. Cluster Computing, 5, 193–204
Dastgheib, S. J., Oulia, H. & Sadeqi, G. M. R. ( 2011 ). An efficient approach for clustering in wireless sensor network using fuzzy logic. International Conference on Computer Science and Network Technology.
Ghazanfari, M., & Rezaie, M. (2006). An introduction to fuzzy sets theory. Tehran: Iran University of Science and Technology press.
Hoebeke, J., Moerman, J., Dhoedt, B. & Demeester, P. (2004). An Overview of Mobile Ad Hoc Networks: Applications and Challenges. Journal of the Communications Network, 3, 60-66
Hogie, L. (2007). Mobile Ad Hoc Networks: Modeling, Simulation and Broadcast-based Applications. PhD thesis.
IEEE Computer Society (2007). IEEE standard for Information technology telecommunications and information exchange between systems local and metropolitan area networks Specific requirements.
Parekh, A.K. (1994). Selecting routers in ad hoc wireless network. In Proceedings of the SBT/IEEE International Telecommunication Symposium ITS.
Reineck, K.M. (2008). Evaluation and Comparison of Network Simulation Tools. Master Thesis.
Zadeh, L.A. (1975). The concept of a linguistic variable and its application to approximate reasoning – I. Information Sciences, 8, 199–249.
Zadeh, L.A. (1965). Fuzzy Sets. Information and Control, 8, 338–353.