Abstract
Problem statement: A Mobile Ad-Hoc Networks (MANETs) operate in environments without infrastructures with an undefined network size. Most routing protocols of Mobile Ad-hoc Networks (MANETs) were studied using open space models where nodes were able to move throughput the entire simulation area. However, a more realistic topology should account for restricted mobility of nodes, such as in an urban city setting where there may be concentrations of nodes within specific areas (such as within buildings) and low density of nodes in other areas (such as in parks and roadways). Consequently, the simulation area should be partitioned into smaller sub-areas with varying densities to model such topologies, called spare/dense topologies. Approach: This study characterized the effect of spare/dense topologies on MANET routing performance and proposes an extension for an existing routing protocol to work in such topologies. Results: The proposed protocol improved the performance of MANETs by reducing the communication overhead incurred during the routing processes by implementing a new broadcast algorithm. The proposed broadcast algorithm was based on the density and connectivity of the nodes and not just the number of nodes. Conclusion: Compared with simple flooding, the proposed algorithm can improve the saved broadcast up to 50% without affecting reach ability, even under conditions of high mobility and density.
Highlights
Mobile Ad hoc Networks (MANETs) are basically non-infrastructure based networks with an undefined network size
This study has weighed up the performance of density based probabilistic algorithm on the Ad-hoc On-demand Distance Vector (AODV) protocol, which traditionally uses simple flooding, in order to increase saved rebroadcasts of route requests at route discovery sending phase and route discovery forwarding phase
This proposed algorithm determines the rebroadcast probability by taking into account the network density
Summary
Mobile Ad hoc Networks (MANETs) are basically non-infrastructure based networks with an undefined network size. This is due to the ubiquitous nature of the MANETs that allows any device to be attached to a certain network anytime. It is only limited by range of the wireless transmission. Nodes with constant motion are expected to form temporary groups or sub-network within the original MANET. When these nodes travel at high speeds the topology of the MANET becomes even more inconsistent and degrading its network performance
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