1 / 19

Wireless Sensor Network for Tracking the Traffic in INTERNET Network Routers Part 2

Networked Software Systems Laboratory Department of Electrical Engineering Technion. Wireless Sensor Network for Tracking the Traffic in INTERNET Network Routers Part 2. Supervisor: Mark Shifrin Students: Yuri Kipnis Nir Bar-Or Date: 30 September 2009.

janna-schroeder
Télécharger la présentation

Wireless Sensor Network for Tracking the Traffic in INTERNET Network Routers Part 2

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Wireless Sensor Network for Tracking the Traffic in INTERNET Network Routers Part 2 Supervisor: Mark Shifrin Students: Yuri Kipnis Nir Bar-Or Date: 30 September 2009

  2. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Agenda • Terms We Use • Introduction • Project Goals • Load Balancing Algorithm • Simulation Results • Conclusions • Further Development

  3. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Terms We Use • Routers Network • WSN – wireless sensor network • Bellman-Ford algorithm & Shortest Path Tree (SPT) • Load Balancing • CWND – congestion window in TCP protocol • Packet loss rate

  4. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Introduction • Solutions of improving network performance • Local network solutions • Network protocols • WSN and Routers Network platform simulation • Dynamic NS-2 platform, TCL • WSN and Routers Network • Load Balancing Algorithm • Bellman-Ford Algorithm

  5. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Project Goals • Investigation of existed solutions • Development and implementation of algorithm for improving network performance by using WSN network • Running various parameterized simulations on different network topology with new algorithm • Gathering simulation results, building graphs and comparing VS. regular simulation results

  6. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion The Problem 3 0 What is the problem? 1 2 5 4 Load Balancing

  7. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Load Balancing Algorithm - Global • Performs for all stations simultaneously pereodicly • Counting the shortest path from source to destination by Bellman-Ford algorithm for SPT • For each path in the SPT: if the last node is a destination of the root in routing table then calculate the load on current path and on the new path • Update this path by changing an old one by new one: • add new edges • move edges that are not used by other flows that don’t contain the first station of old path.

  8. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Load Balancing Algorithm – pseudo code • For each node do: • 1. Create SPT for node • 2. newFlow list <- empty • 3. Go pre-order on the SPT, for each newPath do: • 3.1Is the last node in new path is a destination in RT of first node? • 3.1.1No, go to 3 • 3.1.2Yes, Try to improve

  9. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Load Balancing Algorithm – pseudo code • Try to improve: • Calculate currPath between the first node of newPath and the last node of newPath • Get all flows that use currPath and have destination identical to newPath last node • Calculate the bottleneck of all these flows on old path • Is the current bottleneck on newPath plus calculated bottleneck lower than the total bottleneck on currPath? • 4. 1 No, go to 3 on previous slide • 4.2 Yes, • 4.2.1 Add edges of newPath • 4.2.2 Remove edges that are not used in other flows that don’t contain first node of newPath • 4.2.3 go to 3 on previous slide

  10. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Load Balancing Algorithm - example 3 0 1 2 5 4 1: Change from 0 1 2 4 to 0 5 4 1: Change from 0 1 2 3 to 0 5 3 1: Change from 1 2 4 to 1 4 1: Change from 1 2 3 to 1 3 1: Change from 5 1 2 4 to 5 4 1: Change from 5 1 2 3 to 5 3 2: Change from 0 5 4 to 0 4 2: Change from 0 5 3 to 0 3

  11. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Flow: 0->4, QS=4, ST=0.5

  12. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Flow: 5->3, QS=60, ST=5

  13. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Complicated Simulation

  14. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Flow: 0->3, QS=4, ST=0.5

  15. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Flow 1->2, QS=4, ST=0.5

  16. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Conclusions • Load balancing algorithm increases the network performance in networks with relatively rare number of flows and in networks with limitation in queue size and service tempo . • Load balancing algorithm increases the performance in part of flows in complicated networks that have a big number of flows and common links for different flows. This algorithm decreases a performance for other flows in complicated networks. • Networks that not suffers from the resources lack will not benefit from this algorithm in aspect of packet loss rate but in aspect of flow capacity and transfer rate. • The congestion control in wired network is possible through wireless network . Moreover it can be done by independent network like WSN by using special algorithms and protocols.

  17. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Further Development • How Load Balancing Algorithm will influence the other Internet Protocols, like UDP, BGP? • How can we improve this algorithm by exchanging updated information between network stations during iteration? • How can we manage the information data structures in more effective way? • How can this model to be involved by industry?

  18. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Questions ?

  19. Networked Software Systems LaboratoryDepartment ofElectrical EngineeringTechnion Thank You ! Link to the project website: http://softlab.technion.ac.il

More Related