Title: The Meraka Indoor wireless mesh test bed A new multi hop routing benchmarking tool
1The Meraka Indoor wireless mesh test bedA new
multi hop routing benchmarking tool
- David Johnson
- Senior Researcher
- Wireless Africa Programme
- Meraka
- CSIR
2450 million rural people in Africa are isolated
from the rest of the world
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4Connect them all by 2017
5Sound crazy?
6How do these sound?
77 trillion wireless devices serving 7 billion
people by 2017 Wireless World Research Forum
8Affordable mobile communications for half the
world's population by 2015 Nokia
9Half the world have Internet access by 2015 AMD
50x15
10Creates cognitive dissonance
11Heres how it could be done
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13Turn the first mile into an open bazaar of
community networks
14As easy to setup as a TV
15Telcos just provide backhaul
16Income stays in the communities
17Modernized without being urbanized
18Ubuntu community networks mesh networks
19- Plenty of research problems to address
- Routing protocols and routing metrics
- Gateway selection for multiple gateways
- Power efficiency
- Auto channel allocation
- Distributed services
- Multimedia over mesh
- Clustering optimization
- Smart antennas for mesh
- Business models for village entrepreneurs
- Security over mesh
- Vulnerability of first time exposure to the
internet - Building technical skills in developing regions
- Logistics
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21Why build a test bed?
22Mathematical models good enough for rules of
thumb but no tractable solution for a real
network
23Simulation models good for early protocol
development and testing but still far from reality
24Real outdoor wireless reality but difficult to
build and manage
25Indoor test beds provide controlled environment
and expose theoretical simplifications
26Construction of the meraka wireless grid
27Construction of the meraka wireless grid
28Construction of the meraka wireless grid
29Construction of the meraka wireless grid
30Construction of the meraka wireless grid
31Challenges when building experiments
32Challenges when building experiments
33Challenges when building experiments
- Which combination of mode/rate/txpower to use
- Experiments are time consuming ... 52 hours to
test 4 routing protocols using all combinations
of 49 nodes in the grid with 20 second test time
34Electromagnetic modelling of the grid
Done with WIPL-D modelling software
35Electromagnetic modelling of the grid
36Results 49 node multi hop chain
37Results 49 node multi hop chain
38Results 49 node multi hop chain
- After 4 hops
- Gupta best 50
- Gupta worst 42.47
- Gupta indoor measurements 9.74
- Meraka lab 25.7
39Choosing routing protocols to benchmark
40Results hop count distribution
41Results Routing traffic overhead
42Results Routing traffic overhead
43Results throughput, packet loss, delayString
of 7 nodes
44Results throughput, packet loss, delayFull 7x7
grid
45Comparison of throughput to baseline
46Conclusions
- Proved that multi hop wireless networks possible
on scaled test beds (up to 5 hops were achieved
in a space of 7Mx7M) - Complexity in the grid is high and produces a
worst case scenario for routing algorithms. - The AODV protocol showed the weakest performance
but had the lowest routing overhead. - DYMO showed good results for its low routing
overhead with the least amount of delay for the
full 7x7 - The RFC version of OLSR had the best overall
performance the full 7x7 grid. - OLSR with the ETX extension performed better in
medium size networks of about 21 nodes.
47Future improvements to the mesh lab
- Compare results to NS2 simulations
- Add a lab sandbox
- Add a lab scheduler to make it simple for
multiple interested parties to run experiments - Build a measurement framework to simplify setting
up experiments - Test virtual mobility and install a roaming robot
- Experiment with parameters beyond the RFC values
for routing protocols - Add support for power measurements
- Add support for control of smart antennas
48For further information
- http//wirelessafrica.meraka.org.za