5.04-1. Bellman Ford Algorithm (1, part 1).  Consider the scenario shown below, where at t=1, node e receives distance vectors from neighboring nodes d, b, h and f.  The (old) distance vector at e (the node at the center of the network) is also shown, before receiving the new distance vector from its neighbors.  Indicate which of the components of new distance vector at e below have a value of 1 after e has received the distance vectors from its neighbors and updated its own distance vector.

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5.04-1. Bellman Ford Algorithm (1, part 1).  Consider the scenario shown below, where at t=1, node e receives distance vectors from neighboring nodes d, b, h and f.  The (old) distance vector at e (the node at the center of the network) is also shown, before receiving the new distance vector from its neighbors.  Indicate which of the components of new distance vector at e below have a value of 1 after e has received the distance vectors from its neighbors and updated its own distance vector.  

## Distance Vector Routing Example at Time t=1

### Scenario:
At time \( t=1 \), node \( e \) receives distance vectors (DVs) from nodes \( b, d, f, \) and \( h \).

### Objective:
Determine the new distance vector (DV) computed at node \( e \) at \( t=1 \).

### Node Connections and Costs:
- **Node Connections:**
  - \( a \) is connected to \( b \) (cost 8).
  - \( b \) is connected to \( c \) (cost 1).
  - \( b \) is connected to \( e \) (cost 1).
  - \( d \) is connected to \( e \) (cost 1).
  - \( d \) is connected to \( f \) (cost 1).
  - \( f \) is connected to \( e \) (cost 1).
  - \( g \) is connected to \( h \) (cost 1).
  - \( h \) is connected to \( i \) (cost 1).

### Received Distance Vectors:
- **From Node \( b \):**
  - \( D_b(a) = 8 \)
  - \( D_b(c) = 1 \)
  - \( D_b(d) = \infty \)
  - \( D_b(e) = 0 \)
  - \( D_b(f) = \infty \)
  - \( D_b(g) = \infty \)
  - \( D_b(h) = \infty \)
  - \( D_b(i) = \infty \)

- **From Node \( d \):**
  - \( D_d(a) = 1 \)
  - \( D_d(b) = \infty \)
  - \( D_d(c) = \infty \)
  - \( D_d(e) = 1 \)
  - \( D_d(f) = 1 \)
  - \( D_d(g) = \infty \)
  - \( D_d(h) = 1 \)
  - \( D_d(i) = \infty \)

- **From Node \( f \):**
  - \( D_f(a) = \infty \)
  - \( D_f(b) = \infty \)
  - \( D_f(c) = \
Transcribed Image Text:## Distance Vector Routing Example at Time t=1 ### Scenario: At time \( t=1 \), node \( e \) receives distance vectors (DVs) from nodes \( b, d, f, \) and \( h \). ### Objective: Determine the new distance vector (DV) computed at node \( e \) at \( t=1 \). ### Node Connections and Costs: - **Node Connections:** - \( a \) is connected to \( b \) (cost 8). - \( b \) is connected to \( c \) (cost 1). - \( b \) is connected to \( e \) (cost 1). - \( d \) is connected to \( e \) (cost 1). - \( d \) is connected to \( f \) (cost 1). - \( f \) is connected to \( e \) (cost 1). - \( g \) is connected to \( h \) (cost 1). - \( h \) is connected to \( i \) (cost 1). ### Received Distance Vectors: - **From Node \( b \):** - \( D_b(a) = 8 \) - \( D_b(c) = 1 \) - \( D_b(d) = \infty \) - \( D_b(e) = 0 \) - \( D_b(f) = \infty \) - \( D_b(g) = \infty \) - \( D_b(h) = \infty \) - \( D_b(i) = \infty \) - **From Node \( d \):** - \( D_d(a) = 1 \) - \( D_d(b) = \infty \) - \( D_d(c) = \infty \) - \( D_d(e) = 1 \) - \( D_d(f) = 1 \) - \( D_d(g) = \infty \) - \( D_d(h) = 1 \) - \( D_d(i) = \infty \) - **From Node \( f \):** - \( D_f(a) = \infty \) - \( D_f(b) = \infty \) - \( D_f(c) = \
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