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Abstract

Channel Diversity in Wireless Mesh Network Project have emerged as a promising solution to providing cost effective last-mile connectivity. Employing multiple channels is used to be an effective approach to overcoming the problem of capacity degradation in multihop wireless networks. The routing metric is a criterion to judge the “goodness” of a path in routing algorithms.

The most typical routing metric for multihop wireless networks is the hop count. This metric,however, cannot capture the quality of a path in wireless environments.In multichannel WMNs the channel diversity is another key factor since the end-to-end performance of a routing path is governed not only by which nodes this path comprises, but also by to which channels the links of this path are tuned. Incorporating channel diversity into the routing metric introduces two new issues:

• How to balance the trade-off between network throughput and per-node throughput

• How to quantify the channel diversity of a path We need one routing metrics that strikes a balance between maximizing resource utilization and improving the end-to-end performance per flow for multichannel WMNs and also quantify the channel diversity.

Need for a New Routing Metric

The routing metric is a criterion to judge the “goodness” of a path in routing algorithms. The most typical routing metric for multihop wireless networks is the hop count. This metric,however, cannot capture the quality of a path in wireless environments.In multichannel WMNs the channel diversity is another key factor since the end-to-end performance of a routing path is governed not only by which nodes this path comprises, but also by to which channels the links of this path are tuned. Incorporating channel diversity into the routing metric introduces two new issues:

• How to balance the trade-off between network throughput and per-node throughput

• How to quantify the channel diversity of a path

 

trade-off between global goodness and selfishness

 

To expand on these two issues, we take Fig. 2 as an example,where the label on each link indicates the channel on which the link operates. We first consider paths P1 and P2 in the network. Obviously, if shorter paths are favored, P1 is selected; The path that presents higher channel diversity may not be the shortest one. As a result, channel-diverse paths may consume more radio resource in the network than the shortest paths, and thus may degrade the achievable system aggregate throughput.

This constitutes the trade-off between maximizing network throughput and maximizing per-node throughput (or the trade-off between global goodness and selfishness [9]) in the network. Thus, it is desired to find a routing metric that strikes a balance between maximizing resource utilization and improving the end-to-end performance per flow for multichannel WMNs. Paths P3 and P4 in Fig. 2 are an example with a similar level of channel diversity for two paths. However, the challenge here is how to quantify the channel diversity of a routing path, and sometimes it is hard to determine which path is preferable.

WCETT

WCETT [9] is extended from a radio-aware routing metric,expected transmission count (ETX) [7], which is designed for single-channel multihop wireless networks. The ETX metric measures the expected value of total packet transmissions (including retransmissions) required to successfully send a unicast packet over a link. The ETX-based routing algorithm is then to select the path whose sum of ETX values of all hops on the path is minimized. The ETX metric considers both the link loss rate and total consumed resource on the path. The study in [5] reports that the ETX metric achieves better performance than the hop count, per-hop round-trip time, and per-hop packet pair delay metrics in the network only consisting of stationary nodes. However, since the ETX metric is designed for single-channel systems, it does not account for channel diversity in multichannel WMNs.

NBLC

NBLC [12] is a routing metric designed for multichannel multiradio multirate WMNs. The NBLC metric is an estimate of the residual bandwidth of the path, taking into account the radio link quality (in terms of data rate and packet loss rate),interference among links, path length, and traffic load on links. The main idea of the NBLC metric is to increase the system throughput by evenly distributing traffic load among channels and among nodes. To achieve the goal of load balancing,nodes have to know the current traffic load on each channel. Thus, each node has to periodically measure the percentage of busy air time rceived on each radio (tuned to a certain channel) and then obtain the percentage of free to-use (residual) air time on each radio.

HARDWARE AND SOFTWARE REQUIREMENTS

HARDWARE REQUIREMENTS:

• Intel Mother Board.

• Pentium IV Processor 1.8 GHz.

• 40 GB HDD.

• Keyboard.

• Mouse.

• CRT/TFT/LCD Monitor

SOFTWARE REQUIREMENTS:

• Ns2(Tcl)/C++

• Linux CHAPTER

Conclusion

In this project The Throughput Balancing is achieved in Wireless Mesh Network.The WCETT-LB.Load balancing algoritham is used in existing DSDV protocol and modified protocol are working properly.We can create hierarchical routing network and send packet from wired node to wireless node and vice versa and analyzed trace graph.The resul of the trace graph show that throughput of the network is balanced.

This research leaves off at a point where it can be extended, and hopefully can inspire others to create other ideas that, do not necessarily build off of the proposed solution, but rather borrow some concepts from it. There are two main concepts that should be discussed. The first is an idea for improving the current algorithm. The proposed solution leaves interface assignment to the end.