Efficient Hand off using Fuzzy and Simulated Annealing

Full Text (PDF, 207KB), PP.17-23

Views: 0 Downloads: 0


Vikas.M.N 1,* Keshava.K.N 1 Prabhas.R.K 1 Hameem Shanavas .I 1

1. Dept of ECE, MVJ College of Engineering,Bangalore

* Corresponding author.

DOI: https://doi.org/10.5815/ijcnis.2012.01.02

Received: 17 Jun. 2011 / Revised: 20 Sep. 2011 / Accepted: 6 Nov. 2011 / Published: 8 Feb. 2012

Index Terms

FPGA, Fuzzy Controller, Simulated Annealing


This paper presents an efficient method for the hand off mechanism in cellular networks using optimization algorithms. The proposed approach integrates a fuzzy logic approach with simulated annealing algorithm to automate the tuning process. The fuzzy controller carries out inference operation at high-speed, whereas the tuning procedure works at a much lower rate. For the implementation described in this paper, a two-input-one-output fuzzy controller is considered. Both the inputs and the output have 8- bit resolution, and up to seven membership functions for each input or output can be defined over the universe of discourse. The fuzzy controller has two levels of pipeline which allows overlapping of the arithmetic as well as inference operations. The SA tuning mechanism adjusts the triangular or singleton membership functions to minimize a cost function. The complete self-tuned fuzzy inference engine is implemented in a Xilinx SPARTAN3 XC3S200 series FPGA device. This paper describes various aspects of the implementation of the self-tuned hand off system.

Cite This Paper

Vikas.M.N, Keshava.K.N, Prabhas.R.K, Hameem Shanavas.I, "Efficient Hand off using Fuzzy and Simulated Annealing", International Journal of Computer Network and Information Security(IJCNIS), vol.4, no.1, pp.17-23, 2012. DOI:10.5815/ijcnis.2012.01.02


[1]Chandrasekhar G. Patil, Mahesh T. Kolte, “An Approach for Optimization of Handoff Algorithm Using Fuzzy Logic System”, International Journal of Computer Science and Communication, 2011 Vol.2, No.1, pp. 113118.
[2]George Edwards and Ravi Shankar, “Handoff using Fuzzy Logic”, IEEE Proceeding., 1996.
[3]Kam-Wing Li, I. Burhan Turkven, and Kenneth C. Smith,” An FPGA Implementation of a Self tuned Fuzzy Controller”, IEEE Transactions, 1996.
[4]Michael Mc Kennan and B.M. Wilamowski. , “Implementing a Fuzzy System on a Field Programmable Gate Array”, IEEE Transactions (2001).
[5]L.Ingber. “Very fast simulated Re-annealing mathematical and computer modeling” vol.12. no.8 pp.967-973. 1989.
[6]Dayal C. Sati, Pardeep Kumar , Yogesh Misra ,”FPGA Implementation of Fuzzy Logic Based Hand off Controller for a microcellular mobile network”, International Journal of Applied Engineering Research, Vol.2, No.11,2011.
[7]Zadeh, L.A., January 1973. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Transactions on Systems, Man and Cybernetics, SMC-3(1):28–44.
[8]Sánches-Solano, S., Senhadji, R., Cabrera, A., Baturone, I., Jiménez, C.J. & Barriga, A.2002. Prototyping of Fuzzy Logic-Based Controllers Using Standard FPGA Development Boards. IEEE Proceedings of the 13th International Workshop on Rapid System Prototyping (RSP’2002): 25-32.
[9]Muresan, V., Crisu, D. & Wang, X. 1997. From VHDL to VHDL. A Case Study of a Fuzzy Logic ontroller: proceeding of the International Conference of Young Lecturers and PhD Students: 83-90.
[10]Mamun Bin Ibne Reaz and Md. Saiur Rahman, “FPGA Realization of Fuzzy Based Subway Train Braking System” ICECE 2002.
[11]I.HameemShanavas, R.K.Gnanamurthy,”Wavelength minimization in Partitioning and Floor planning using Evolutionary Algorithms”, VLSI Design, 2011