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Fault Tolerant Routing in Tri-Sector Wireless Cellular Mesh Networks Yasir Drabu and Hassan Peyravi Kent State University Kent, OH - 44240.

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Presentation on theme: "Fault Tolerant Routing in Tri-Sector Wireless Cellular Mesh Networks Yasir Drabu and Hassan Peyravi Kent State University Kent, OH - 44240."— Presentation transcript:

1 Fault Tolerant Routing in Tri-Sector Wireless Cellular Mesh Networks Yasir Drabu and Hassan Peyravi Kent State University Kent, OH - 44240

2 Kent State University PDCS - 06 2 Agenda Introduction  Wireless Network Overview Problem Definition Proposed Solutions  Shortest Path Routing  Fault Tolerant Routing Conclusion

3 Kent State University PDCS - 06 3 Intro - Wireless Network Architectures Point to MultipointMultipoint to MultipointPoint to Point Dedicated links Currently Most Common Our Focus TopologyReliabilityAdaptabilityScalabilityRouting Complexity P to PHighLowNone P to MLow Moderate M to MHigh

4 Kent State University PDCS - 06 4 Wireless Mesh Networks (WMN) Structured, energy rich wireless multi-hop networks:  Wireless Client Mobile, no routing, limited power  Wireless Router Low mobility, routing and power rich  Wireless Gateway Access to wired network. Solves – “Last Mile Connectivity” INTERNET

5 Kent State University PDCS - 06 5 Problem Definition How do you route packets in a Wireless Mesh/Multi-Hop network? Given:  Faulty wireless – multi path fading, selective fading, noise etc.  Shortest path may not be the best alternative.  Multiple hops/ multiple channel – radio limitations, channel allocation problem etc.

6 Kent State University PDCS - 06 6 Background Many wireless routing algorithms: Pro-active (DBF), reactive (DSR, TORA) and hybrid (ZRP)  None are very fault tolerant and very focused on energy poor applications Few provide fault tolerance  Agarwal 2004 (Stony Brook research lab) – build routing using spanning trees then re-associate to different root when link fails. Slow, high message complexity, order of seconds. However not much work done on using topological properties of wireless network

7 Kent State University PDCS - 06 7 Proposed Honey Comb WMN Model No wired backbone for each node Place wireless elements on the edge instead of the center in a typical network Uses more nodes with lower power for better coverage and higher throughput Modified to Honey Comb Typical Cellular Network Proposed Honeycomb Model

8 Kent State University PDCS - 06 8 Honey Comb Network Comparison Cellular Network:  Central Base Station  Omni-directional antenna Advantages + Established Technologies + Fewer Base Stations Limitations – High power consumption – Limited coverage – Lower bandwidth – No Fault tolerance – Expensive to deploy and maintain due to wired back bone infrastructure. Honeycomb Network:  BS as the edge  Directional antennas Advantages + Lower power per node + Better coverage + Higher throughput + Fault tolerance + Wireless interconnect, cheaper to deploy when wired infrastructure is factored in Limitations – More complex hardware – More nodes for same area

9 Kent State University PDCS - 06 9 Proposed Tri-Sector Node Model N 120 0 Wireless Router Four Radios  Three directional antennas for communication with other routers  One omni-directional for wireless clients The directional antenna can be on the same channel as they are spatially multiplexed.  Using different channels on different lobes will add to the complexity of the problem. Omni-directional antenna is on a separate channel to minimize interference.

10 Kent State University PDCS - 06 10 Earlier routing in Honeycomb Network Honeycomb routing was introduced in [Stojmenovic:97] Issues:  Uses (x, y, z) co- ordinates to route.  No consideration for link failure. Src: Stojmenovic:97

11 Kent State University PDCS - 06 11 Honeycomb Brick Representation Two dimensional representation of honeycomb Each node can be represented by a co-ordinate (x,y) They have 25% smaller degree than regular grid meshes. stretch Isomorphic pruned 2D square mesh

12 Kent State University PDCS - 06 12 Shortest Path Routing Algorithm

13 Kent State University PDCS - 06 13 Fault Tolerance In Brick Networks Link faults common in wireless networks How do we handle a fault in a mesh network?  Localized Temporal Routing Temporal Routing Based on  Final direction of packet  Position of fault  Number of faults

14 Kent State University PDCS - 06 14 Fault Tolerant Routing Algorithm Fault detection: Physical layer or the Medium Access Layer detects the fault. Fault avoidance: Once a fault has been detected, the algorithm goes into recovery mode. Exploited topological properties to define alternate path.

15 Kent State University PDCS - 06 15 Fault Routing – Single and Multiple failures

16 Kent State University PDCS - 06 16 Limitations Fault tolerance is a trade-off between delay and deliverability.  More hops introduce delay. Model needs ground up deployment Topological Rigidity  Cannot be deployed on all terrains

17 Kent State University PDCS - 06 17 Conclusions Contributions:  Modeled fault tolerant network topology  Efficient addressing scheme  Shortest path routing algorithm  Developed fault tolerant routing which can handle multiple faults. Future Work:  Gateway Placement  Resource allocation (channel assignment)

18 Questions?

19 Kent State University PDCS - 06 19 Wireless Multi-hop Networks Type of multi-hop networks (Application Level Classification):  Ad hoc Limited power, high mobility, relatively small. Primary application – file sharing and collaboration.  Sensor Networks Very low power, low bandwidth, large networks. Primary application – Data accusation and sensing.  Wireless Mesh Networks (WMN) Power rich, structured, high throughput Primary application – access network to end users.

20 Kent State University PDCS - 06 20 Routing Challenges in WMN Time varying link behavior Shortest Path not always the best route Using spanning trees do not exploit the natural robustness of a WMN. Exploit alternate routes to make WMN fault tolerant How to achieve load balancing.  How to maintain alternate routes?  How to choose one route over the other? On what basis/metrics?


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