optimized handoff scheme using fuzzy logic
P.RAMU,
Published in International Journal of Advanced Research in Computer Networking,Wireless and Mobile Communications
ISSN: 2320-7248 Impact Factor:1.8 Volume:2 Issue:1 Year: 08 January,2014 Pages:9-23
Abstract
In this report described an optimized solution for handover across heterogeneous networks using Fuzzy-Logic. Handoff algorithm metrics such as Received Signal Strength (RSS), Signal to Interference Ratio (SIR), Transmit powers (Eb) are compared with Fuzzy-Logic based handoff algorithm for making handoff decision. Traditional handoff algorithm is based on stochastic and heuristic models. Because of statistical fluctuations in signal strength due to fading, a call gets repeatedly handoff back and forth between neighbouring base stations (ping-pong effect) before it is associated with single base station, or is forced to terminate as the signal strength falls below acceptable levels. This affects the quality of communication. In addition, delaying a necessary handoff also affects the connection quality of communication. Here RSS, SIR, Eb are taken as the metrics to make handoff decision. The results are simulated using MATLAB 7.0 software. From the results we can see that the proposed algorithm performs better than the traditional handoff algorithm like repeated handoffs and delay in handoffs are very well minimized in our proposed optimized handoff scheme using Fuzzy-Logic.
Kewords
Received Signal Strength (RSS), Signal to Interference Ratio (SIR), Transmit powers (Eb)
Reference
[1] Nishith D. Tripathi, (August 1997), Generic Adaptive Handoff Algorithm Using Fuzzy Logic and neural networks”, Ph.D Thesis, Virginia polytechnic Institute and State University. [2] Pahalavan. K, Krishnamurthy, (October 2001) “Handoff in Hybrid Mobile Data Networks”, IEEE Personal Communications Magazine. [3] W.Teerapabkajorndet and P.Krishnamurthy, (October 2001) “Comparison of Performance of location-aware and traduitional handoff decision algorithms in CDPD Networks” , in Proc. IEEE VTC, Atlantic city, NJ. [4] Marichamy. P, Chakrabarti. S, Maskara. S.L, (2003), “Performance Evaluation of Handoff Detection Schemes”, IEEE Transactions. [5] Mehmet Akar and Urbashi Mitra, (2003), “Joint Power and Handoff Control using a Hybrid Systems framework”, IEEE Infocom. [6] “Signal Strength Measurements in GSM Mobiles”, White paper, Ericsson Erisoft AB. [7] Kaveh Pahalavan, Prashant Krishnamurthy, Ahmad Hatami, “Handoff in Hybrid Mobile Data Networks”, IEEE Personal Communications, April 2000. [8] A.Dutta et al, “Fast Handoff Schemes for Application Mobility Management”, PIMRC 2004. [9] Fertag A, Harl H, (Aug 2000), “Current Developments and Trends in Handover Design for ALLIP Wireless Networks”, Telecommunication Networks Group. [10] Lee W C Y, (1993), Mobile Communications Design Fundamentals”. John Wiley & Sons Inc., 2 Edition. [11] T.K Shanthi, Marimuthu, “Neural Networks Based multicriteria handoff for heterogeneous networks”. [12]www.cs.stir.ac.uk/~iss/NNIntro/InvSlides.html [13]www.doc.ic.ac.uk/~nd/surprise_96/journal/vol4/cs11 /report.html [14]www.neurocomputing.org/History/history.html [15] www.mathworks.com
