Abstract
Enhancing the Performance of Wireless Routing Protocols of MANET using AI
Highlights
Wireless Local Area Networks (WLAN) enables nodes to access each other within intra-network or internetwork
Ad hoc On-Demand Distance Vector (AODV) 110 using the same way to generate the table for Ant on Behalf Source (Ant-OBS), but if we consider the total number of neighbor nodes that the source can send them the Route Request (RREQ) is 1 for two hops, Ps.davg i (Ps) = 1/5, while the third hop Ps=5 as all node confined within the request zone participate in forwarding the RREQ, so Ps = 3/5
The proposed protocol (Ant-OBS) benefits from the behavior of ant insect when ant find intersection, it decides which route to follow, AntOBS selects the required route based on decision when no known hop is predicted, it benefits from LAR scheme 1 (LAR1) in some stages to forward the RREQ
Summary
Wireless Local Area Networks (WLAN) enables nodes to access each other within intra-network or internetwork. The following are examples of hybrid routing protocols: Zone Routing Protocol (ZRP) (Beijar, 2002) and Zone-based Hierarchical Link State (ZHLS) (Abolhasan et al, 2004). This type of protocols enables source node to flood packets towards destination using positional information based on previous knowledge about its location, which reflects positively on network overhead and power consumption, such as Location Aided Routing Protocol (LAR) (Ko and Vaidya, 2000), GRID (Liao et al, 2000), Compass (Kranakis et al, 1999) and Greedy Perimeter Stateless Routing (GPSR) (Karp and Kung, 2000). The result shows that Ant-OBS outperforms AODV and LAR1
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