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A Reverse Path Setup in AODV B H S E C I • Node D does not forward RREQ, because node D is the intended target of the RREQ G F K J D M Z Y N L 98
A B Route Reply in AODV H S E C I G Represents links on path taken by RREP F K J D M Z Y N L 99
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Mobile Ad Hoc Networks: Routing, MA
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Introduction Unicast routing Mult
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Coverage Not intended to be exhaus
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Mobile Ad Hoc Networks Formed by w
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Mobile Ad Hoc Networks (MANET) Mob
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Many Applications Personal area ne
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Many Variations Traffic characteri
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Challenges Limited wireless transm
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Research on Mobile Ad Hoc Networks
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Assumption Unless stated otherwise
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Why is Routing in MANET different ?
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Proactive protocols Routing Protoco
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Overview of Unicast Routing Protoco
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A Flooding for Data Delivery B H S
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A Flooding for Data Delivery B H
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Flooding for Data Delivery: Advanta
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Flooding of Control Packets Many p
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A B Route Discovery in DSR H S E C
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Route Discovery in DSR Destination
Page 47 and 48: Route Reply in DSR Route Reply can
Page 49 and 50: A B Data Delivery in DSR H DATA [S,
Page 51 and 52: DSR Optimization: Route Caching Ea
Page 53 and 54: A B Use of Route Caching [S,E,F,J,D
Page 55 and 56: Use of Route Caching: Can Reduce Pr
Page 57 and 58: Route Caching: Beware! Stale cache
Page 59 and 60: Dynamic Source Routing: Disadvantag
Page 61 and 62: Flooding of Control Packets How to
Page 63 and 64: X = last known location of node D,
Page 65 and 66: LAR Only nodes within the request
Page 67 and 68: LAR Variations: Adaptive Request Zo
Page 69 and 70: Location-Aided Routing The basic p
Page 71 and 72: Detour Routing Using Location Infor
Page 73 and 74: Distance Routing Effect Algorithm f
Page 75 and 76: Relative Distance Micro-Discovery R
Page 77 and 78: Geographic Distance Routing (GEDIR)
Page 79 and 80: Grid Location Service (GLS) [Li00Mo
Page 81 and 82: Query Localization [Castaneda99Mobi
Page 83 and 84: G F E B A S C D Query Localization:
Page 85 and 86: Broadcast Storm Problem [Ni99Mobico
Page 87 and 88: Solutions for Broadcast Storm Prob
Page 89 and 90: Solutions for Broadcast Storms Dis
Page 91 and 92: Ad Hoc On-Demand Distance Vector Ro
Page 93 and 94: A B Route Requests in AODV H S E C
Page 95 and 96: A B Route Requests in AODV H S E C
Page 97: A Reverse Path Setup in AODV B H S
Page 101 and 102: A Forward Path Setup in AODV B H S
Page 103 and 104: Timeouts A routing table entry mai
Page 105 and 106: Route Error When node X is unable
Page 107 and 108: Link Failure Detection Hello messa
Page 109 and 110: Why Sequence Numbers in AODV A B C
Page 111 and 112: Summary: AODV Routes need not be i
Page 113 and 114: Link Reversal Algorithm [Gafni81] A
Page 115 and 116: Link Reversal Algorithm A B F C E G
Page 121 and 122: Link Reversal Algorithm Attempts t
Page 123 and 124: Partial Reversal Method A B F C E G
Page 129 and 130: Link Reversal Methods: Advantages
Page 131 and 132: Link Reversal in a Partitioned Netw
Page 133 and 134: Full Reversal in a Partitioned Netw
Page 135 and 136: Full Reversal in a Partitioned Netw
Page 137 and 138: Temporally-Ordered Routing Algorith
Page 139 and 140: E D Partition Detection in TORA A N
Page 141 and 142: E D Partition Detection in TORA A N
Page 143 and 144: E D Partition Detection in TORA A F
Page 145 and 146: E D Partition Detection in TORA A F
Page 147 and 148: TORA Design Decision TORA performs
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So far ... All nodes had identical
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Core-Extraction Distributed Ad Hoc
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Link State Propagation in CEDAR Th
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H G B CEDAR: Core Maintenance A C E
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H G B CEDAR Route Discovery A C E S
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Advantages CEDAR Route discovery/ma
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Proactive Protocols Most of the sc
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Optimized Link State Routing (OLSR)
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Optimized Link State Routing (OLSR)
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OLSR OLSR floods information throu
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Destination-Sequenced Distance-Vect
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Hybrid Protocols 171
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ZRP All nodes within hop distance
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B F ZRP: Example with Zone Radius =
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B F ZRP: Example with d = 2 A S C D
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LANMAR Routing to Nodes Within Scop
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LANMAR Routing to Nodes Outside Sco
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Geodesic Routing Without Anchors [B
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Routing Protocols discussed so far
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Other Routing Protocols Plenty of
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Power-Aware Routing [Singh98Mobicom
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Power-Aware Routing Possible modifi
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Associativity-Based Routing (ABR) [
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Preemptive Routing [Goff01MobiCom]
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Quality-of-Service Several proposa
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Multicasting in Mobile Ad Hoc Netwo
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Multicasting in MANET Need to take
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AODV Group Sequence Number In our
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Joining the Multicast Tree: AODV H
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Joining the Multicast Tree: AODV H
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Sending Data on the Multicast Tree
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Since J is not a leaf node, it must
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Leaving a Multicast Tree: AODV H C
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Handling a Link Failure: AODV Multi
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Merging Partitions: AODV If the ne
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Merging Partitions: AODV Assume th
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Q Merging Partitions: AODV B RREQ (
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Group Hello (update) Q Merging Part
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On-Demand Multicast Routing Protoco
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ODMRP No explicit join or leave pr
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Geocasting in Mobile Ad Hoc Network
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Geocasting [Navas97Mobicom] Navas
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Simple Flooding-Based Geocasting U
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Geocasting based on Location-Aided
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Geocast LAR If all routes between
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Anycasting with Modified TORA [Ko20
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DAG for Anycasting Since links bet
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Geocasting using Modified Anycastin
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Other Geocasting Schemes [Macwan01
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Some Related Work Content-based Mu
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Capacity of Fixed Ad Hoc Networks [
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Continues from last slide … Dela
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Measured Scaling Law [Gupta01] Mea
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Medium Access Control Protocols 263
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Hidden Terminal Problem Node B can
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Reliability Wireless links are pro
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IEEE 802.11 Wireless MAC Distribut
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Collision Avoidance With half-dupl
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B1 = 25 B2 = 20 cw = 31 DCF Example
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MAC Protocols: Issues Hidden Termi
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Binary Exponential Backoff in DCF
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IEEE 802.11 Distributed Coordinatio
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Fairness Issue Assume that initial
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MACAW Solution for Fairness When a
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Distributed Fair Scheduling (DFS) [
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Impact of Collisions After collisi
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Distributed Fair Scheduling DFS us
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Fairness in Multi-Hop Networks Not
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Balanced MAC degree of node j p_ij
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Balanced MAC Results show that it
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Estimation-Based Fair MAC Fair sha
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Proportional Fair Contention Resolu
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Sender-Initiated Protocols The pro
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Using Receiver’s Help in a Sender
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Receiver-Based Adaptive Rate Contro
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Capacity and MAC Protocols The MAC
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Energy Conserving MAC Since many m
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A Power Aware Multi-Access Protocol
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PAMAS PAMAS uses a control channel
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Another Proposal in PAMAS To avoid
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UDP on Mobile Ad Hoc Networks 317
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UDP Performance Several relevant s
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UDP Performance Difficult to ident
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Overview of Transmission Control Pr
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Transmission Control Protocol (TCP)
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Cumulative Acknowledgements A new
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Window Based Flow Control Sliding
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Window Based Flow Control Congesti
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How does TCP detect a packet loss?
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Retransmission Timeout (RTO) calcul
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Fast Retransmission Timeouts can t
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Congestion Avoidance and Control S
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Congestion Control On detecting a
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Congestion window (segments) 25 20
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ssthresh = Fast Recovery min(cwnd,
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Slow-start Congestion avoidance F
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Performance of TCP Several factors
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Random Errors May Cause Fast Retran
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Sometimes Congestion Response May b
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Burst Errors May Cause Timeouts If
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Impact of Transmission Errors TCP
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This Tutorial This tutorial consid
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Mobile Ad Hoc Networks Mobility ca
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Impact of Multi-Hop Wireless Paths
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Ideal Throughput f(i) = fraction o
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Impact of Mobility 20 m/s 30 m/s Id
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Actual throughput But not always
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mobility causes link breakage, resu
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B C A Why Does Throughput Improve?
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Network feedback How to Improve Thr
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Actual throughput Performance Impro
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Issues Network Feedback Network kn
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To Cache or Not to Cache Average sp
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Issues To Cache or Not to Cache Ca
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TCP Performance Two factors result
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Issues RTO After Route Repair Same
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Impact of Acknowledgements TCP Ack
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Security Issues 395
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Security Issues in Mobile Ad Hoc Ne
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Resurrecting Duckling [Stajano99]
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Secure Routing Establishing a Cert
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Techniques for Intrusion-Resistant
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Intrusion Detection [Zhang00Mobicom
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Packet Purse Model [Byttayn00MobiHo
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Existing Implementations Several i
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CMU Implementation: Lessons Learned
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BBN Implementation [Ramanathan00Wcn
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Link layer Implementation Issues: W
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Implementation Issues: Address Assi
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Implementation Issues: Security Ho
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Implementation Issues Only some is
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Distributed Algorithms for Mobile A
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Distributed Algorithms There is al
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Related Standards Activities 427
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Internet Engineering Task Force (IE
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Bluetooth [Haartsen98,Bhagawat00Tut
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Bluetooth: Piconet A channel is ch
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Bluetooth: Scatternet Several pico
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Open Issues in Mobile Ad Hoc Networ
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Related Research Areas Algorithms
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Thank you !! For more information,
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