a study on the spectrum efficient multi-hop wireless network

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Figure 3.7:Coverage area and movement direction Figure 3.7 illustrates and example of the movement model simulated in my work. Each mobile station will start moving from randomly defined point and move through the corridors indicated in the map until it reaches a random destination. The station will move within the corridors of the map while turning in different randomly predefined directions without crossing the wall of the building. Each station will communicate with a specific station the map area while moving. The destination address for each station is illustrated in Table A.1 in the appendix. To achieve a coverage radius of 100 m for each station for a free space propagation model, equation (3) was utilized. 4 2 πD ⎤ − 12.5 ⎡ P = ⎢ ⎣0.12476⎥ ⎦ × 10 (3) Where P is the transmission power in Watt and D is the coverage distance in meter. 25
3.5 Packet Delivery Rate (PDR) The PDR is the usual metric used to indicate the performance of Ad-hoc mobile networks protocol [23]. The PDR is the ratio between the total number of messages send out and the number of messages that were successfully delivered to their destination [14]. The relation between the total messages sent to the messages delivered is indicated in Eq. (4). Total ⋅ messages ⋅ sent PDR = (4) Total ⋅ messages⋅ delivered The highest possible value of PDR is 1; which indicates the best performance since all the sent messages are successfully delivered. 3.6 Simulation setting and parameters Figure 3.8 illustrates the simulated map with the mobile stations. Each station will move through a predefined path. 50, 60 or 70 mobile stations are moving in the simulated area. The main focus in this research is the communication between two stations which represents the disaster stricken point and the headquarters (which are represented by the two blue nodes in Fig 3.8). 26
Page 1: A STUDY ON THE SPECTRUM EFFICIENT M
Page 4 and 5: Copyright @ 2009 by WADHAH HAFIDH A
Page 6 and 7: 、上記条件下で、4 m/s
Page 8 and 9: The WMN experiments showed that the
Page 10 and 11: Table of Contents Abstract in Japan
Page 12 and 13: List of Figures Figure 1.1: Infrast
Page 14 and 15: List of Tables Table 2.1: Compariso
Page 16 and 17: CHAPTER 1 Introduction 1.1 IEEE 802
Page 18 and 19: The performance of a random media a
Page 20 and 21: 1.4 Interference problem Interferen
Page 22 and 23: On the other hand, the backbone net
Page 24 and 25: CHAPTER 2 Mobile Ad-hoc Network 2.1
Page 26 and 27: Route Request AODV Intermediate nod
Page 28 and 29: Request (RREQ) [4] in order to iden
Page 30 and 31: DATA Motion Figure 2.4: Higher mobi
Page 32 and 33: CHAPTER 3 Packet Delivery Rate (PDR
Page 34 and 35: Table 3.1: Simulation Parameters Pa
Page 36 and 37: oute stat hold time parameter in th
Page 38 and 39: speed values due to the ability of
Page 42 and 43: Figure 3.8: Simulated Ad-hoc mobile
Page 44 and 45: Figure 3.9: Example of Convergence
Page 46 and 47: oute. This caused the 10m/s speed t
Page 48 and 49: Figure 3.14: Number of users vs. Me
Page 50 and 51: Figure 3.16: Simulated Ad-hoc mobil
Page 52 and 53: 3.9 Chapter summary Four simulation
Page 54 and 55: suppressing channel interference is
Page 56 and 57: The two radios provide the ability
Page 58 and 59: Figure 4.4: Interference in Multi-r
Page 60 and 61: Figure 4.6: Phase Shift and cancel
Page 62 and 63: As mentioned before, it was shown i
Page 64 and 65: Basically, the experiments are cate
Page 66 and 67: Figure 5.2: AirMagnet Surveyor inte
Page 68 and 69: The directional coupler is a passiv
Page 70 and 71: Figure 5.7: Throughput vs. SIR (Int
Page 72 and 73: Figure 5.10: Three hop WMN with two
Page 74 and 75: Table 5.2:Throughput of Mutli-hop W
Page 76 and 77: PathLoss ( dB) = 40 + [35log10 D( m
Page 78 and 79: Figure 5.17: Actual Interference ca
Page 80 and 81: Figure 5.20: Attenuation value vs.
Page 82 and 83: Figure 5.22 illustrates the S 21 pa
Page 84 and 85: link. The experimental results show
Page 86 and 87: Scenario A.1 This scenario simulate
Page 88 and 89: Destination address Table Table A.1
Page 90 and 91:
Figure B.2: Attenuation value vs. t
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[10] S Gowrishankar, T G Basavaraju
Page 94 and 95:
[32] Jing Zhu and Roy, S., “802.1
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