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Gugrajah_Yuvaan_ Ramesh_2003.pdf

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Simulation ofa Load Balancing Routing Protocol<br />

Chapter 3<br />

Chapter]<br />

SIMULATION OF A LOAD BALANCING ROUTING<br />

PROTOCOL<br />

3.1. Introduction<br />

The results of simulations comparing on-demand routing protocols for ad hoc<br />

networks to the proactive table-driven routing protocols [Broch98], [Johannson99],<br />

[Camp02] show that the table-driven protocols struggle to maintain valid global state<br />

information in ad hoc networks with high mobility. The resulting overhead causes<br />

network congestion and increased delay. The on-demand protocols discussed in<br />

Chapter 2 also do not account for load balancing to avoid congestion and often use<br />

the shortest path or the first path found by a route request procedure. While the<br />

shortest path is likely to result in decreased delay, using the shortest path may<br />

actually increase delay in situations where traffic load is high. Certain nodes may<br />

become overburdened due to their respective locations in the network and as a result<br />

the packet buffers overflow, throughput performance deteriorates and delay<br />

increases.<br />

With reference to a simple example in Figure 3-1, node 6 becomes overburdened<br />

because of its position in the network. The shortest path algorithms would frequently<br />

employ node 6 as a node along the shortest route to some other node on the opposite<br />

side of node 6. However, congestion at node 6 would eventually result in longer<br />

delays. By avoiding node 6 and routing traffic along the outer ring when node 6 is<br />

congested, network throughput and delay will be improved. The configuration in<br />

Figure 3-1 is purely for demonstrating the problem of load balancing; however<br />

mobility and the resulting topologies can always result in similar topologies and even<br />

more complicated topologies where this unfavourable condition could arise.<br />

3-1

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