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A Survey on Channel Assignment Approaches for Multi-Radio Multi-Channel Wireless Mesh Networks

A Survey on Channel Assignment Approaches for Multi-Radio Multi-Channel Wireless Mesh Networks. Speaker: Weisheng Si Supervisor: Dr. S. Selvakennedy. Outline. Background on Channel Assignment Key design issues Classification An Example Approach Comparison and Contrast

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A Survey on Channel Assignment Approaches for Multi-Radio Multi-Channel Wireless Mesh Networks

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  1. A Survey on Channel Assignment Approaches for Multi-Radio Multi-Channel Wireless Mesh Networks Speaker: Weisheng Si Supervisor: Dr. S. Selvakennedy

  2. Outline • Background on Channel Assignment • Key design issues • Classification • An Example Approach • Comparison and Contrast • Future research directions • Summary

  3. 1. Background • Wireless Mesh Networks (WMNs) • Multi-radio Multi-channel WMNs • Some companies in the WMN market • Channel Assignment

  4. Wireless Mesh Networks Three Hierarchies: Gateways, Mesh Routers (Nodes), APs Key Applications: municipal broadband Internet access, campus networks, mobile telephone backhaul networks, and public safety networks. Key advantages: Low Cost, Ease of Deployment

  5. Multi-radio Multi-channel WMNs(M2WMNs) • Evolution of WMNs • Single-radio Single-channel • Single-radio Multiple-channel • Multi-radio Multi-channel • Practicality of M2WMNs • Price of Wireless Interface Cards is dropping down quickly • IEEE 802.11a/b/g, 802.16 support multiple non-overlapping channels

  6. Some companies in the WMN market • Nortel • Motorola • Belair Networks • Tropos Networks • Meshdynamics • Strix Systems Typical Solution: Each mesh router uses three radios and three channels (one IEEE 802.11b/g channel for WLAN and two IEEE 802.11a channels for upstream/downstream backhaul respectively) .

  7. Channel Assignment (CA) Definition: finding a proper mapping between the available channels and the radios at each node such that the network performance is optimized.

  8. 2. Key Design Issues for CA • Interference • Connectivity • Stability • Throughput/Delay • Routing • Fault Tolerance • Fairness

  9. Interference • The foremost factor that degrades the wireless network performance • Models of Interference [Gupta and Kumar 2000] • Protocol Model • Each radio has a transmission range and an interference range • A transmission from radio X to radio Y is successful if Y is in the transmission range of X and not in the interference range of radios other than X • Physical Model • A transmission is successful if the Signal to Interference and Noise Ratio (SINR) of the transmitter’s signal at the receiver is larger than a threshold • the interference and noise power at the receiver consists of the noises generated by other ongoing transmissions and the ambient noise in the network

  10. Connectivity A key difference between the single-channel and multi-channel networks is that CA can change the network topology. Communication constraint:two neighbor radios must share a common channel to communicate. (1) CA must be careful not to disconnect the network. (2) A trade-off relationshipbetween interference and connectivity: The more radios are assigned to the same channel, the more connectivity is achieved, but the more interference is induced.

  11. Stability Addressing two phenomena that undermine the network stability due to CA • Ripple Effect • Channel Oscillation • Channel assignment does not converge and changes back and forth among several choices. • When two nodes discover that a channel is under-utilized, they may simultaneously switch to this channel and both begin the transmission on it, and then switch back upon discovering this channel is overloaded.

  12. Routing There is a mutual dependency between CA and routing • The network topology of an M2WMN — a basic factor for making the routing decisions — can be changed by the CA decisions. • Routing can change the traffic load distribution in the network, which is a major factor considered by CA to reduce the interference dynamically

  13. 3. Classification

  14. 4. An Example Approach:BFS-CA(Breadth First Search Channel Assignment) [Ramachandran et al., INFOCOM 2006] • Background • Problem Formulation • Main Ideas • Basic Steps of Its Algorithm • Advantages and Limitations

  15. BFS-CA ― Background Network Topology cannot reflect the communication constraint, so Conflict Graph is introduced. Drawback of Conflict Graph: unable to model number of radios at each node

  16. BFS-CA ― Background (cont’d) BFS-CA introduces Multi-radio Conflict Graph (MCG): • Considering links between radios as vertices instead of considering links between nodes as vertices. • Modelling the interference between links based on the unit disk graph instead of the network topology.

  17. BFS-CA ― Problem Formulation Assumptions: • There is a gateway in the M2WMN and the major network traffic is to or from this gateway • There is a Channel Assignment Server (CAS) running on the gateway, and its task is to collect information from all nodes and calculate the CA results • There exist co-located external wireless networks that interfere with this M2WMN Output Objectives: • Minimizing the interference among the mesh routers • Minimizing the interference between the M2WMN and the co-located external wireless networks.

  18. BFS-CA ― Main Ideas • A heuristic algorithm in light of NP-hardness • Assign channels to vertices in MCG • Traverse the MCG in BFS order • Using the distance from the gateway as the guideline • Pick channels for vertices in MCG greedily • According to the channel ranking based on the external interference level • Each node periodically monitors the external interference level

  19. BFS-CA ― Basic Steps • Each node sends the external interference level of each channel to the CAS • CAS ranks all the channels in a decreasing order according to their interference levels reported by all nodes • With the links adjacent to the gateway as the starting points, the algorithm traverses vertices in MCG in BFS order • While visiting a vertex, the vertex is assigned the currently highest ranked channel that is not assigned to its adjacent vertices in MCG. • Considering the MCG constraint is to reduce the interference among the mesh nodes • Considering the channel rankings of the external interference level is to reduce the interference between the mesh and the external wireless networks • If such a channel is not available, then randomly assign a channel to this vertex.

  20. BFS-CA ― Advantages and Limitations • Advantages • A novel concept of Multi-radio Conflict Graph is proposed, such that it is straightforward to consider the number of radios at each node • It is claimed to be the first algorithm considering the external interference, which is a practical problem in the current M2WMN deployments • Its practicality is demonstrated in a multi-radio IEEE 802.11b testbed. • Limitations • Its heuristic to reduce both internal and external interference by combining the channel ranking and the MCG constraint is intuitive, providing no known bound for the worst-case performance • It is only suitable for the M2WMNs where a gateway acts as the central point of the network traffic.

  21. Summary to graph-based approaches

  22. 5. Comparison and Contrast ― The ten basic properties • A default common channel is used to transmit control messages. (DeCh) • Traffic load information is considered. (TrLd) • The existence of gateway nodes is required to facilitate CA. (GwNd) • The Physical Model is adopted as the interference model. (PhMo) • Ripple effect is addressed. (RpEf) • Channel oscillation is addressed. (ChOs) • Routing scheme is proposed in combination with CA. (Rtng) • Fault tolerance is supported. (FaTo) • Fairness is supported. (Fair) • Testbed implementation is conducted. (TBed)

  23. 5. Comparison and Contrast (cont’d) ― The comprehensive table

  24. 6. Future Research ― General Directions • Toward distributed solutions • Needed by the practical M2WMN networks, which exhibit considerable network dynamics such as nodes/links failure, traffic load changes, and external interference • All specific future research issues to be discussed next require further attention from the distributed solutions • Toward Physical Model • RSSI (Receive Signal Strength Indicator) suggested by the empirical study [Paul et al. 2007] • SINR (Signal to Interference and Noise Ratio) used in [Mohsenian and Wong 2006]

  25. 6. Future Research ― Specific Directions • External Interference • In current M2WMN deployments [BelAirNetworks 2007, Nortel 2006], the status of all employed channels is constantly monitored by the radios at each node • In the surveyed proposals, only [Ramachandran et al. 2006] considers the external interference • Directional Antennas • In current M2WMN deployments [BelAirNetworks 2007, Nortel 2006], directional antennas are used among mesh routers. • In the surveyed approaches, only DMesh [Das et al. 2006] considers directional antennas

  26. 6. Future Research (cont’d) ― Specific Directions • Channel Oscillation • Only PCU-CA [Kyasanur and Vaidya 2006] addresses this phenomenon • A hysteresis factor is used to avoid overlay route flap in [Zhao et al. 2003] • Limiting route advertisements by fixed timers is used to damp BGP route flap in [Villamizar et al. 1998] • Quality of Service (QoS) • Needed by major WMN applications such as VoIP and video surveillance [BelAirNetworks 2007, Nortel 2006] • The current M2WMN deployments provide QoS support in layer-2 medium access or in layer-3 packet routing • Is CA the proper place to provide QoS support? (YES)

  27. 7. Summary― Our contributions are fourfold • The key design issues for CA approaches are identified, with the rationale for their importance given. • A classification of the CA approaches capturing their essentials is proposed. • Each approach is treated with a description of its main idea and basic steps, followed by a remark pointing out its pros and cons. Moreover, a comprehensive comparison and contrast on them is made in the end. • Both general and specific future research directions for channel assignment are highlighted, with solution hints given.

  28. Thank You! • Questions?

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