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Adaptive weight factor estimation from user review 1

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Adaptive weight factor estimation from user

Adaptive weight factor estimation from user

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Adaptive weight factor estimation from user   review 1 Adaptive weight factor estimation from user review 1 Presentation Transcript

  • ADAPTIVE WEIGHT FACTORESTIMATION FROM USER PREFERENCESFOR VERTICAL HANDOFF DECISION ALGORITHMS Solutions Ambitlick
  • SCOPE OF THE PROJECT: To Estimate the weight factors for quality of service Ambitlick Solutions parameter in VERTICAL HANDOVER MECHANISMS using Adjacent Pair Priorities (APP) technique.
  • ABSTRACT Estimating weight factors for QoS parameters plays an important role in the effectiveness of vertical handoff decision algorithms. Ambitlick Solutions A novel weight estimation technique, which can adaptively control the spanning of the weights in response to user preference. Our results show the supremacy of the technique against the state-of-the-art in achieving wider spanning of the expected values of all QoS parameters under consideration.
  • PROBLEM IDENTIFICATION: AHP based weight estimation is so far the most popular technique as it allows user to set relative Ambitlick Solutions importance between pairs of parameters using a fundamental linear scale
  • PROPOSE SYSTEM A novel weight estimation technique, which can avoid all the above mentioned limitations by allowing users to set relative priority for only adjacent pair of QoS parameters in descending order of priority and Ambitlick Solutions quantifying the relative priority levels using an exponential mapping with a user-defined exponent. Consequently, the proposed Adjacent Pair Priorities (APP) technique can adaptively control the width of the spanning of estimated weights to provide the ultimate flexibility for users to control the weight distribution. Markov Decision Process (MDP)
  • SYSTEM REQUIREMENT & SPECIFICATION:Hardware Requirements: Software Requirements: Ambitlick SolutionsProcessor Type : Pentium -IV Operating System : Linux – red hat 9.0Speed : 2.4 GHZRam : 128 MB Programming Package : C++ , TCLRAMHard disk : 20 GB HD Tool Used : Vmware Work station Version : NS2 2.27, 2.29 , 2.34
  • Select Best Network form exsisting Application and trafficBLOCK DIAGRAM: Ambitlick Solutions Qos Parameter Avg. Jitter (ms) Average Delay Average.PDR Avg. Throughput Adjacent Pair Priorities Handover (APP) technique Technique GPRS WLAN UTMS
  • MODULES :1. Design Of heterogeneous network.2. Vertical Handoff Decision Algorithms Ambitlick Solutions3. Implementation Of Adjacent Pair Priorities (APP) Technique.4. Paramètres estimation5. Comparaison Of QOS Paramètres
  • REFERENCES[1] Y. Chen, J. Ai, and Z. Tan, “An Access Network Selection Algorithm Based on Hierarchy Analysis and Fuzzy Evaluation”, in Proc.WCSP, Nanjing, November 2009. Ambitlick Solutions[2] S. Lee, , K. Sriram, K. Kim, Y. H. Kim, and N. Golmie, “Vertical Handoff Decision Algorithms for Providing Optimized Performance in Heterogeneous Wireless Networks ”, IEEE Transaction of Vehicular Technology, vol. 58, no. 2, pp. 865-881, February 2009.[3] R.Tawil, O. Salazar and G. Pujolle, “Vertical Handoff Decision Scheme Using MADM for Wireless Networks”, Proc. IEEE WCNC, pp. 2789- 2792, March 2008.[4] S. Yan, C. Shanzhi, L. Yuhong, Y. Lei, and D. Decail, “An Application- Oriented Cooperative Vertical Handoff Decision Method for Multi interface Mobile Terminals”, in Proc. ITST, June 2007[5] B. Chang, and J. Chen, “Cross-Layer-Based Adaptive Vertical Handoff With Predictive RSS in Heterogeneous Wireless Networks ”, IEEE Transaction of Vehicular Technology, vol. 57, no. 6, pp. 3679-3692, November 2008.