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The Mold Mobility Model for Mobile Wireless Networks

TMTC MCSE S. T. LIANG. The Mold Mobility Model for Mobile Wireless Networks. Shih-Tsung Liang* and Wei-Hsueh Sheng** *Department of Mathematics Computer Science Education, Taipei Municipal Teachers College **Department of Computer Science and Information Engineering, Da-Yeh University.

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The Mold Mobility Model for Mobile Wireless Networks

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  1. TMTC MCSE S. T. LIANG The Mold Mobility Model for Mobile Wireless Networks Shih-Tsung Liang* and Wei-Hsueh Sheng** *Department of Mathematics Computer Science Education, Taipei Municipal Teachers College **Department of Computer Science and Information Engineering, Da-Yeh University

  2. Introduction The Mold Mobility Model Bandwidth Allocation Experiment Results Concluding Remarks Outline

  3. Introduction • mobility model has tremendous effect on the performance of wireless network protocols • Two categories of mobility models Mold Mobility Model independent dependent

  4. (1, 1) (1, 2) … (1, n) (2, 1) (2, 2) … (2, n) … … … … (n, 1) (n, 2) … (n, n) The Mold Mobility Model • MH(i): a Mobile Host in Group i • All MH(i)s share the similar mobility behavior only in the spatial domain (not in the time domain) • system state ← Area index • Mobility behavior: state transition matrixP(i) • Embedded Markov Chain (focus on epochs when the observed MH moves from one area to another)

  5. : steady state probability that MH(i) stays in area (i, j) at observed epochs Obtained by solving The Mold Mobility Model • : mean time for MH(i) continuously stays in area (i, j) • steady state probability that MH(i) stays in area (i, j)

  6. : number of MHs in Group i : number of Group i’s MHs in area (x, y) r(i) : bandwidth requirement for each MH in group i bandwidth allocation for area (x,y) Bandwidth Allocation

  7. Model Setup • System architecture • 4 areas • 4 groups : each correspondent to a specific school students • Considering two scenarios

  8. Scenario 1 Setup

  9. Scenario 2 Setup

  10. (1,2) (1,1) 250m (2,1) (2,2) Simulation setup • Network Simulator 2 (ns-2) • Wireless network architecture • Simulation time: 18,000 sec mobility setup

  11. Numeric Results(Scenario 1) Group 1 Group 2 Group 3 Group 4

  12. Numeric Results(Scenario 2) Group 1 Group 2 Group 3 Group 4

  13. Numeric Results • Bandwidth allocation • Can be applied to wireless network planning

  14. proposed the mold mobility model to characterize the spatially dependent but temporally independent movements of the mobile hosts from the same group An in-depth Markovian analysis of the mold mobility model was provided followed by the validation of the model through simulation using ns-2 Numerical results showed the accuracy of the model A feasible application of the model was illustrated, in which the determination of bandwidth allocation in wireless network planning was obtained Concluding Remarks

  15. Thank you !!

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