1. Gateway Selection in Rural Wireless Mesh Networks Team: Lara Deek, Arvin Faruque, David Johnson http://www.octavetech.com/blog/wp- content/uploads/2008/03/long-range-wireless.jpg

2. Introduction: Rural Wireless Mesh Networks (WMNs) ‏  A mesh network comprised of multiple, commodity devices that provides Internet access to rural areas  Topology differs from hub-and-spoke wireless networks  Applications: Education, health care  Benefits: cost, robustness, infrastructure requirement

3. Introduction: Rural WMN Examples  Digital Gangetic Plains (India)‏  OLPC Project: Each XO-1 will operate as a WMN node Image from http://www.cse.iitk.ac.in/users/braman/dgp.html Image from http://laptop.org/en/lapto p/hardware/specs.shtml

4. Introduction: Mesh Network Gateway Selection  Mesh networks connect to the rest of the Internet via gateways  Rural and municipal WMNs have different bandwidth constraints Municipal: bottleneck is wireless links Rural: bottleneck is at gateways  Problem: Inefficiently utilized gateways WMN can have severe consequences in rural areas  Our goal: modify an existing mesh routing protocol attempt to optimally select gateways

5. B.A.T.M.A.N.(1)‏ BF C A E D X G A wants to reach X

6. B.A.T.M.A.N. (2) ‏ BF C A E D X G A:10 A:9  Nodes broadcast originator messages (OGM's) every second  OGM's are rebroadcast  Other nodes measure how many OGM's are received in a fixed time window

7. B.A.T.M.A.N. (3)‏ BF C A E D X G A:8 A:7 D BATMAN routing table TO VIA Q AB 8 AC 7 D Final routing table TO VIA AB A:7

8. B.A.T.M.A.N. (4)‏ BF C A E D X G A:6 G BATMAN routing table TO VIA Q AD 6 AE 7 G Final routing table TO VIA AE A:0 A:4 A:7

9. B.A.T.M.A.N. (5)‏ BF C A E D X G A:5 A:6 X BATMAN routing table TO VIA Q AG 5 AE 6 X Final routing table TO VIA AE

10. B.A.T.M.A.N. (6)‏ BF C A E D X G X BATMAN routing table TO VIA Q AG 5 AE 6 E BATMAN routing table TO VIA Q AC 7 AD 4 C BATMAN routing table TO VIA Q AA9

11. Current GW selection techniques  Minimum hop count to gateways  Used by routing protocols like AODV  Creates single over congested gateways BF C A E D X G GW1 GW2

12. Current GW selection techniques  Best link quality to GW  Used by  source routing protocols like MIT Srcr  Link state protocols like OLSR  Prevents congested links to GW  Not global optimum of GW BW usage BF C A E D X G GW1 GW2 2.2 1.5 3 1 11 1 2 1

13. Current GW selection techniques  BATMAN has advanced a little further  GW can advertise downlink speed  User can choose GW selection based on  GW with best BW  Stable GW (need history) ‏  GW BW x LQ  Can't trust advertised GW BW  Doesn't achieve fairness BF C A E D X G GW1 GW2 10 7 3 4 9 7 256 kbps 512 kbps 87

14. Proposed Solution: Introducing intelligence to the core of the WMN  Introduce information about gateway performance into the network  Nodes at “intelligence boundary” have gateway performance information, need to transfer this information to the other nodes  Transfer this information via: “Batsignal” packets that are flooded through the network

15. Proposed Solution: What does the boundary node measure?  When nodes will select gateways, they will need to estimate the amount of bandwidth they will get:  Example:  Hence, boundary nodes must transmit current total gateway bandwidth and current # of VPNs  Total gateway capacity is the sum of Measured extra bandwidth (measured through active probes) The sum of the current bandwidths of the VPNs

16. Proposed Solution: Batsignals 1.A node at the intelligence boundary periodically Record gateway measurement If the measurement is not drastically different than a previous value, then transmit a Batsignal packet only if we have not recently transmitted a batsignal packet If the measurement is drastically different from a previous value, immediately transmit a Batsignal packet 2.All other nodes Forward a received bat-signal to its neighbors (if it has not expired)‏ Update their own gateway preference tables Packet time to liveTTL Number of VPNs on gatewayVPNs Total download bandwidthDB Time stampTS Gateway ID (0-255)‏GWID DescriptionField Batsignal PacketNode Gateway Preference Table GWIDMetricTotal down BW # VPNsTime- stamp 1 Etc…

17. Proposed Solution: Using Batsignal data to pick a gateway  To choose a gateway, the following metric based on table data and link quality (computed only when current_time - timestamp is below a threshold) is used  Gateway flapping: When a gateway comes up and goes down frequently, a large number of conflicting Batsignal's will be broadcasted to the WMN nodes.  The VPN will not switch to another gateway until all the flows within it have terminated (Srcr) Gateway Preference Table GWIDMetricTotal down BW # VPNsTimestamp 1 Etc…

18. Evaluation: UCSB Meshnet status

19. Evaluation: The massive mesh in South Africa  7x7 grid of 49 wireless nodes using 802.11 a/b/g radios  Each node network boots off a central server  Makes use of 30dB attenuators on radios to achieve multiple hops in small space  Has been used for extensive mesh network protocol benchmarking  Complete remote control of experiments possible

20. Evaluation Environment I Parameters at the Gateway and Mesh Nodes Technologies Used  Load: traffic/congestion.  Loss: signal weakness, obstacles.  Delay:.  Bandwidth: of the available communication channels between mesh nodes or between mesh nodes and gateways.  Throughput: between mesh nodes and a test server outside the mesh network.  tc: linux traffic control.  iperf: TCP/UDP bandwidth measurement tool.  iptables: defines packet processing schemes.

21. Evaluation Environment II Metrics Measurement Methodology  Gateway efficiency: measures how effectively we match the throughput generated by the VPNs to the capacities of the gateways.  Gateway fairness: measures how fairly the aggregate gateway throughput is distributed among VPN flows.  Gateway Flapping: measures the frequency a mesh node switches between utilization of multiple gateways.  Measure VPN flows at each GW  Have capacity of all GW’s.  Measure VPN flows. What is the time window? Average over time.  Parse BatSignals for each node and record the timestamp for each GW usage. How much hysteresis?

22. How are we using technologies to determine fundamental parameters? Active Probing to determine GW throughput using a decentralized, distributed approach via trusted internet mesh nodes that form the intelligence boundary {B1, B2}.

23. Current Progress (from Proposal) We are in Week 4. 1.Formulate a set of preliminary evaluation metrics for the protocol. (Week 1 - Week 3). Done 2.Formulate a measurement procedure to test the efficacy of the protocol. (Week 1 - Week 2) Done 3.Emulate a gateway on a UCSB MeshNet node using Linux tools such as tc and iptables. (Week 2 - Week 3) Have developed scripts to control TC and iptables. Need to develop remote control for this script. 4.Run and evaluate the latest developers release of B.A.T.M.A.N. on the UCSB MeshNet. (Week 1 - Week 4) Have evaluated BATMAN on 3 mesh UCSB MeshNet nodes. Need to transition massive mesh (has been done before). 5.Implement solutions to Goals 1, 2, 3, and 4 and measure performance using the measurement process described in (2) and evaluation metrics described in (1) (Week 3 – Week 6) In progress, analyzing code.

24. Nifty Animations