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Improving the scalability of MAC protocols in Wireless Mesh Networks Mthulisi Velempini (Mr.)
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UCT-COE Seminar 000 Page 2 January 31, 2016 Introduction WMN are composed of a wired backbone A Wireless Back haul of static routers Mobile mesh clients Broadband wireless communication system It is scalable and easy to deploy Offers a cost effective last mile solution
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UCT-COE Seminar 000 Page 3 January 31, 2016 Mesh Architecture Backbone Back Haul Mobile Mesh Clients
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UCT-COE Seminar 000 Page 4 January 31, 2016 Research Question and Arguments 1.Is CSMA/CA suitable for WMN? 2.CSMA/CA can not be scaled up to meet new challenges in multi channel multi hop WMN 3.CSMA/CA is not suitable for WMN
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UCT-COE Seminar 000 Page 5 January 31, 2016 IEEE 802.11 MAC Consists of two schemes: PCF and DCF PCF is centralized, real time data scheme DCF is a CSMA/CA based decentralized scheme designed for non real time data PCF needs the services of a PC There is no PC in Ad Hoc networks PCF is not functional in WMN Requirements of multimedia data are not guaranteed
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UCT-COE Seminar 000 Page 6 January 31, 2016 IEEE 802.11 MAC DCF It is a primary medium access protocol It is contention based It uses CSMA/CA for carrier sensing CSMA/CD can not be implemented due to transmission/reception constraint CSMA/CA suffers from packet collisions
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UCT-COE Seminar 000 Page 7 January 31, 2016 CSMA/CA Consists of three processes: Virtual Sensing – NAV Random back off interval ( ) Contention period Collision result in retransmission of packets Back off interval is doubled Delayed ACK is associated with congestion Degrades significantly as network grows 2 n – 1
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UCT-COE Seminar 000 Page 8 January 31, 2016 Continuation CCA procedure Contention Window Reset parameters CW = 0? DATA RTS
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UCT-COE Seminar 000 Page 9 January 31, 2016 Multi hop Communication IEEE 802.11 performs badly in Multi hop It is a single hop protocol Fails to deal with Hidden and exposed nodes Relay packets degrade throughput Listen before you talk results in delays Collisions lead to Hold off and retransmissions Lack of coordination affects throughput HOL problem degrades delay bounded data
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UCT-COE Seminar 000 Page 10 January 31, 2016 Hidden and Exposed Nodes Y is exposed to WX flow, this problem affects spatial reuse Z is hidden to XW flow and will interfere with data reception at W.. X W Y Z
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UCT-COE Seminar 000 Page 11 January 31, 2016 Asymmetric Views Nodes have different views of the channel Lead to unfairness and starvation of disadvantaged flows The asymmetric problems are IA and FIM In IA, an advantaged flow knows when to contend In FIM, a middle node continues to sense outer nodes and to hold off A node can suffer combinational effects of FIM and IA
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UCT-COE Seminar 000 Page 12 January 31, 2016 Continuation ZY WX W X A Y Z B
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UCT-COE Seminar 000 Page 13 January 31, 2016 Multi Channel IEEE 802.11 MAC is single channel It is not suitable for multi channel Transmission/reception constraint Hidden and exposed nodes Missing receiver problem Virtual sensing has limitations RTS/CTS fail to notify neighbours Lack of coordination is a major problem
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UCT-COE Seminar 000 Page 14 January 31, 2016 Deafness Problem Relates to channel assignment There is a need to trade off deafness and Interference Common channel is required for connectivity Channel sharing leads to interference Minimal connectivity may be a solution X Y Z Channel 1 Channel 2
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UCT-COE Seminar 000 Page 15 January 31, 2016 Related Work MAC can be optimized for real time data IEEE 802.11 MAC is scalable It has to be modified to ensure compatibility Use of multi channels should be coordinated Per flow models to be designed Back offs, hidden and exposed nodes to be addressed MAC should guarantee throughput, capacity, latency, reach and QoS requirements
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UCT-COE Seminar 000 Page 16 January 31, 2016 Summary MAC promotes unfairness and starvation Deferred transmissions cause starvation Radios have transmit/reception constraints Distributed schemes are preferred Designs to optimize channel utilization To improve end to end flow fairness against interference This leads to the scalability of WMN Heterogeneity between MR and MC
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