Gugrajah_Yuvaan_ Ramesh_2003.pdf
Gugrajah_Yuvaan_ Ramesh_2003.pdf
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