《数据通信网络》(英文版)Lecture19 Lecture 19 Broadcast routing

Lecture 19 Broadcast routing Eytan Modiano
Lecture 19 Broadcast routing Eytan Modiano Eytan Modiano Slide 1

Broadcast Routing Route a packet from a source to all nodes in the network Possible solutions: Flooding: Each node sends packet on all outgoing links Discard packets received a second time Spanning Tree Routing: Send packet along a tree that includes all of the nodes in the network
Broadcast Routing • Route a packet from a source to all nodes in the network • Possible solutions: – Flooding: Each node sends packet on all outgoing links Discard packets received a second time – Spanning Tree Routing: Send packet along a tree that includes all of the nodes in the network Eytan Modiano Slide 2

Graphs A graph G=(N, A) is a finite nonempty set of nodes and a set of node pairs a called arcs (or links or edges) {1,2,3} N=1234 A={(12),(2,3),(1,4),(2,4)} A={(1,2)
Graphs • A graph G = (N,A) is a finite nonempty set of nodes and a set of node pairs A called arcs (or links or edges) 1 2 3 1 2 3 4 N = {1,2,3} N = {1,2,3,4} A = {(1,2),(2,3),(1,4),(2,4)} A = {(1,2)} Eytan Modiano Slide 3

Walks and paths A walk is a sequence of nodes(n1, n2,. nk)in which each adjacent node paIr is an arc. a path is a walk with no repeated nodes 4 3 Wak(1,2,34,2) Path(12,34)
Walks and paths • A walk is a sequence of nodes (n1, n2, ...,nk) in which each adjacent node pair is an arc. • A path is a walk with no repeated nodes. 1 2 4 3 1 2 4 3 Walk (1,2,3,4,2) Path (1,2,3,4) Eytan Modiano Slide 4

Cycles A cycle is a walk(n1, n2,m, nk with n1 =nk, k>, and with no repeated nodes except n1 nk Cycle(1,24,3,1)
Cycles • A cycle is a walk (n1, n2,...,nk) with n1 = nk, k>3, and with no repeated nodes except n1 = nk Cycle (1,2,4,3,1) 1 2 4 3 Eytan Modiano Slide 5

Connected graph a graph is connected if a path exists between each pair of nodes Connected Unconnected An unconnected graph can be separated into two or more connected components
Connected graph • A graph is connected if a path exists between each pair of nodes. 1 2 4 3 1 2 3 Connected Unconnected • An unconnected graph can be separated into two or more connected components. Eytan Modiano Slide 6

Acyclic graphs and trees An acyclic graph is a graph with no cycles a tree is an acyclic connected graph 3 Acyclic, unconnected Cyclic, connected not tree not tree The number of arcs in a tree is always one less than the number of nodes Proof: start with arbitrary node and each time you add an arc you add a node >n nodes and N-1 links. If you add an arc without adding a node the arc must go to a node already in the tree and hence form a cycle
Acyclic graphs and trees • An acyclic graph is a g raph with no cycles. • A tree is an acyclic connected graph. 1 2 4 3 1 2 3 1 2 3 Acyclic, unconnected Cyclic, connec ted not tree not tree • The number of arcs in a tree is always one less than the number of nodes – Proof: start with arbitrary node and each time you add an arc you add a node => N nodes and N-1 links. If you add an arc without addin g a node, the arc must g o to a n o d e already in the tree and h e n ce form a cycle Eytan Modiano Slide 7

Subgraphs G=(N, A)is a subgraph ofG=(N, A)if 1)G is a graph 2)N is a subset of N 3)A is a subset of A One obtains a subgraph by deleting nodes and arcs from a graph Note: arcs adjacent to a deleted node must also be deleted Graph G Subgraph of G
Subgraphs • G' = (N',A') is a subgraph of G = (N,A) if – 1) G' is a graph – 2) N' is a subset of N – 3) A' is a subset of A • One obtains a subgraph by deleting nodes and arcs from a graph – Note: arcs adjacent to a deleted node must also be deleted 1 2 4 3 1 2 3 – Graph G Subgraph G' of G Eytan Modiano Slide 8

Spanning trees T=(N, A)is a spanning tree of G=(N, A)if T is a subgraph of G with N=N and T is a tree Graph G Spanning tree of G
Spanning trees • T = (N',A') is a spanning tree of G = (N,A) if – T is a subgraph of G with N' = N and T is a tree 1 2 4 3 5 1 2 4 3 5 Graph G Spanning tree of G Eytan Modiano Slide 9

Spanning trees Spanning trees are useful for disseminating and collecting control information in networks; they are sometimes useful for routing To disseminate data from node n Node n broadcasts data on all adjacent tree arcs Other nodes relay data on other adjacent tree arcs To collect data at node n. All leaves of tree(other than n)send data Other nodes (other than n) wait to receive data on all but one adjacent arc, and then send received plus local data on remaining arc
Spanning trees • Spanning trees are useful for disseminating and collecting control information in networks; they are sometimes useful for routing • To disseminate data from Node n: – Node n broadcasts data on all adjacent tree arcs – Other nodes relay data on other adjacent tree arcs • To collect data at node n: – All leaves of tree (other than n) send data – Other nodes (other than n) wait to receive data on all but one adjacent arc, and then send received plus local data on remaining arc Eytan Modiano Slide 10
按次数下载不扣除下载券;
注册用户24小时内重复下载只扣除一次;
顺序:VIP每日次数-->可用次数-->下载券;
- 《数据通信网络》(英文版)Lectures22_23 Flow and congestion control.pdf
- 《数据通信网络》(英文版)Lectures17_18 Fast packet switching.pdf
- 《数据通信网络》(英文版)Lectures8_9 M/G/1 Queues.pdf
- 《数据通信网络》(英文版)Lectures10_11 Reservations Systems M/G/1 queues with Priority.pdf
- 《数据通信网络》(英文版)Lectures15_16 Local Area Networks.pdf
- 《数据通信网络》(英文版)Lectures13_14 Packet Multiple Access: The Aloha protocol.pdf
- 《数据通信网络》(英文版)Lecture 7 Burke’s Theorem and Networks of Queues.pdf
- 《数据通信网络》(英文版)Lecture 2 The Data Link Layer: Framing and Error Detection.pdf
- 《数据通信网络》(英文版)Lectures3_4 The Data Link Layer: ARQ Protocols.pdf
- 《数据通信网络》(英文版)Lecture 1 Introduction.pdf
- 《数据通信网络》(英文版)Lectures5_6 Introduction to Queueing Theory.pdf
- 麻省理工学院:偏微分方程式数字方法(英文版)_lec26.pdf
- 麻省理工学院:《偏微分方程式数字方法》(英文版)Lecture 24 notes.pdf
- 麻省理工学院:《偏微分方程式数字方法》(英文版)Lecture 25 Numerical Methods for PDEs.pdf
- 麻省理工学院:《偏微分方程式数字方法》(英文版)Lecture 24 Outline Laplace Problems.pdf
- 麻省理工学院:《偏微分方程式数字方法》(英文版)Lecture 22 Integral Equation Methods.pdf
- 麻省理工学院:《偏微分方程式数字方法》(英文版)Lecture 21 notes.pdf
- 麻省理工学院:《偏微分方程式数字方法》(英文版)Lecture 22 notes.pdf
- 麻省理工学院:《偏微分方程式数字方法》(英文版)Lecture 21 Notes by Suvranu De and J. White.pdf
- 麻省理工学院:《偏微分方程式数字方法》(英文版)Lecture 20 toupload.pdf
- 《数据通信网络》(英文版)Lecture 21 Optimal Routing.pdf
- 《数据通信网络》(英文版)Lecture 20 Routing in Data Networks.pdf
- 《数据通信网络》(英文版)Lectures24_25 Higher Layer Protocols: TCP/IP and ATM.pdf
- 《航空器系统工程学》(英文版)Aircraft Systems Engineering.pdf
- 《航空器系统工程学》(英文版)Outline.pdf
- 《航空器系统工程学》(英文版)Allen C. Haggerty.pdf
- 《航空器系统工程学》(英文版)AVIATION & THE ENVIRONMENT.pdf
- 《航空器系统工程学》(英文版)Introduction to Aircraft Performance and Static Stability.pdf
- 《航空器系统工程学》(英文版)Wing and Airfoil Nomenclature.pdf
- 《航空器系统工程学》(英文版)Payload range and speed.pdf
- 《航空器系统工程学》(英文版)Gordon McKinzie.pdf
- 《航空器系统工程学》(英文版)Propulsion Systems.pdf
- 《航空器系统工程学》(英文版)SHUTTLE HISTORY.pdf
- 《航空器系统工程学》(英文版)Brian D. Kelly.pdf
- 《航空器系统工程学》(英文版)Ron Suiter, BSEE Lehigh, MBA USC.pdf
- 《航空器系统工程学》(英文版)AARON COHEN.pdf
- 《航空器系统工程学》(英文版)Briefing Summary.pdf
- 《航空器系统工程学》(英文版)Lean Systems Engineering II.pdf
- 《航空器系统工程学》(英文版)Commander Paul A. Sohl, USN.pdf
- 《航空器系统工程学》(英文版)PAUL ALFRED LAGACE.pdf