Wireless Mobile and Multimedia Netorking
ANONYMOUS MARKING
You have been hired to design, test and evaluate a network for a new department building at University of Hertfordshire. The scenario can be explained in four tasks.
TASK 1
Fig.1 depicts the floor plan of the new building. The building will require 5 WiFi access points to provide accessibility to the users. Write a python script to emulate the environment with 5 access points ( One for each class room). Completion of this task will require the knowledge and understanding of the lab material and will require extra knowledge that can be obtained through self-study and research.
Figure 1: Floor plan
The illustrated floor plan in Figure 1 must consist of 5 access points. For emulation purposes emulate 4 stations. The stations can represent a smart hand-held device which can vary from to a laptop, UE or to any WiFi compatible device. Stations (AT1, STA2, STA3 and STA4) must carry a Class C private IP address. APs must be connected using a physical link facilitating a linear topology. Fill the rest of the table below to suit your preference that will aid in facilitate the above floor plan.
Name
|
MAC
|
IP Address
|
(X,Y) coordinates
|
SSID
|
Password
|
Model
|
Range
|
Channel
|
AP1
|
|
N/A
|
|
|
studentID
|
DI524
|
|
|
AP2
|
|
N/A
|
|
|
studentID
|
DI524
|
|
|
AP3
|
|
N/A
|
|
|
studentID
|
DI524
|
|
|
AP4
|
|
N/A
|
|
|
studentID
|
DI524
|
|
|
STA1
|
|
|
|
N/A
|
studentID
|
N/A
|
|
N/A
|
STA2
|
|
|
|
N/A
|
studentID
|
N/A
|
|
N/A
|
STA3
|
|
|
|
N/A
|
studentID
|
N/A
|
|
N/A
|
STA4
|
|
|
|
|
studentID
|
N/A
|
|
N/A
|
Table 1: MAC, IP, SSID, coordinates and other information of the nodes to be filled by the student
Encryption type for the communication is wpa2 and the failMode is standalone. The stations must be in mobility state. Add mobility to your script. Use your preferred x and y coordinates to Entrance, Lecture Room A, Lecture Room B, Lecture Room C and Lecture Room D.
The mobility of the station nodes will be in the following sequence.
Name
|
Start Location
|
End Location
|
Start Time - End Time
|
Moving Speed (min-max)
|
STA1
|
Entrance
|
Lecture Room A
|
10s-20s
|
min_v=1, max_v=5
|
STA2
|
Entrance
|
Lecture Room B
|
30s-60s
|
min_v=5, max_v=10
|
STA3
|
Entrance
|
Lecture Room C
|
25s-60s
|
min_v=2, max_v=7
|
STA4
|
Entrance
|
Lecture Room D
|
10s-20s
|
min_v=2, max_v=7
|
Table 2: Mobility of the Nodes
Upon completion of the script with mobility, your network should emulate the following.
Deliverable:
• Completed Table 1 and Table 2.
• Python script that you utilized to push to configurations towards the Mininet API
• Screenshot from the Mininet WiFI GUI
o Prior Mobility
o At the completion of mobility
• Screenshot of the access point connected upon completion of mobility by stations and the command/s used to obtain that information. This should be for all three stations
o STA1
o STA2
o STA3
• Ping STA1<- - - > STA2 , STA2<- - - > STA3, STA1<- - -> STA3, STA1<- - - > STA4. Provide the screenshot of your successful pings. You may use the Mininet commands line or the x-Term CLI
THE ASSIGNMENT TASK:
TASK 2
Fig.2 depicts the floor plan of the new building and the emergency gathering car park. During an emergency, response units will communicate via AdHoc devices. You have been assigned to evaluate which adhoc protocol ( olsr or babel) functions best. You will require a minimum of 3 devices in mobility, either from car park to the emergency exit or vice-versa. Completion of this task will require the knowledge and understanding of the lab material and will require extra knowledge that can be obtained through self-study and research.
Figure 2: Floor plan and car park
Name
|
IPv6
|
MAC
|
Position
|
Range
|
Antenna Height
|
Antenna Gain
|
Protocol
|
SSID
|
HT_CAP
|
|
|
|
|
40
|
1
|
5
|
olsr
|
adhocUH
|
HT40+
|
|
|
|
|
40
|
2
|
6
|
olsr
|
adhocsUH
|
HT40+
|
|
|
|
|
40
|
3
|
7
|
olsr
|
adhocUH
|
HT40+
|
|
|
|
|
30
|
3
|
7
|
babel
|
adhocUOH
|
HT40+
|
|
|
|
|
30
|
3
|
7
|
babel
|
adhocUOH
|
HT40+
|
|
|
|
|
30
|
3
|
7
|
babel
|
adhocUOH
|
HT40+
|
Table 2: MAC , IP , SSID , coordinates and other information of the nodes for Task to be filled by the student
Deliverable:
1. Python script that you utilized to push the configurations towards the Mininet-WiFi
2. Initiate an ICMP stream between sta4ad < - - -> sta5ad, sta5ad < - - -> sta6ad and sta4ad < - - -> sta6ad and produce three screenshots for each
3. Initiate an ICMP stream between sta7ad < - - -> sta8ad, sta8ad < - - -> sta9ad and sta7ad < - - -> sta9ad and produce three screenshots for each
4. Initiate two TCP transfers in each Adhoc network.
o Transfer 100MB amongst allocated server and client.
o Collect average throughput of each transfer
Report Task 1 and 2:
Your report must include the following:
• Modelling
o Brief explanation on Mininet, Adhoc networking and WIFI networking
o Explanation of the Python commands using code snippets
o Screenshots as mentioned in the deliverable section in each task
• Results
o Throughput graph, Total number of TCP packets and Total number of TCP flagged packets for each transfer
• Analysis
o Calculate TCP Success rate for each transfer
o Critically evaluate the two adhoc protocols (olsr, babel) and present your findings. Which protocol performed better? Provide an analysis backed by references.
TASK 3
You have been hired to connect the newly built building with the old building of University of Hertfordshire. For the purpose of emulation each lecture room must have at least 1 PC. Server room must have two Servers. Two buildings and server room must be connected. Lecture rooms in each building must be in a separate VLAN and switches in each building must be connected using either a ring or grid topology.
Figure 4: Building plan
Name
|
IP Address
|
Room
|
MAC
|
VLAN
|
H1
|
Class C IP address/24
|
Lecture Room A
|
|
400
|
H2
|
Class C IP address/24
|
Lecture Room B
|
|
400
|
H3
|
Class C IP address/24
|
Lecture Room C
|
|
400
|
H4
|
Class C IP address/24
|
Lecture Room D
|
|
400
|
H5
|
Class C IP address/24
|
Lecture Room E
|
|
400
|
H6
|
Class C IP address/24
|
Lecture Room F
|
|
500
|
H7
|
Class C IP address/24
|
Lecture Room G
|
|
500
|
Server
|
20.0.0.1/8
|
Server Room
|
|
N/A
|
UDP
|
40.0.0.1/8
|
Server Room
|
|
N/A
|
Table 4: Network configurations
• Python script that you utilized to emulate the environment
• Screenshot from the ONOS GUI (Move the nodes in the environment to iterate the topology at Figure 4)
• VLAN Functionality
TASK 4
Upon successful completion of the above task, please use the video and the host assigned to you to conduct the rest of the tasks.
• Configure a route between Server or UDP (as assigned) and the Host (as assigned to you). Provide the command you utilized at both server and client end.
• Confirm the route functionality with a ICMP stream. Provide a screenshot of the same.
• Initiate a UDP flow between Server/UDP and Host to total of 480 seconds using the port number assigned to you with a bandwidth of 10Mbps.
• Use the video that have been assigned to you, host it at the assigned Server/UDP and stream it at the assigned Host.
Your report must include the following:
• Modelling
o Brief explanation on OpenFlow and SDN (1 page max)
o Explanation of the Python commands using code snippets
o What is a VLAN? Explain how this can be advantageous using references.
o Network metrics such as throughput, loss and jitter affect the overall performance of your network. Do you agree? Give an explanation with references.
o Screenshots as mentioned in the deliverable section in each task, totalling the number of screenshots but not limited to 6
• Results
o Total jitter, delay and mean throughput of the UDP
o Throughput graph obtained from Wireshark during video stream
o Total number of Packet loss from the video stream, screenshot of the statistic file from Wireshark
• Analysis
o Evaluate the performance of UDP against the Video Transfer.
• You may use network matrices such as throughput, loss and jitter. Provide references.
• Evaluate RTP traffic against UDP traffic. Provide references.
o Evaluate a network based on SDN against a traditional next-hop network. Provide references.
There is a maximum of 20-page limit (A4 size) excluding appendices and references, although marginal excess can be condoned. Utilised Python Scripts must be in the Appendix section.