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Mobility, energy limits and traffic congestion are the main reasons for a poor routing performance in MANETs. Inspired by those challenges, this paper proposes a new routing scheme named Mobility, Energy and Congestion Aware Routing (MECAR) to improve routing performance for MANETs. In this model, a node monitors the mobility, energy consumption and traffic congestion based on a multi-metric named...
So far the hop-count has been considered as a good metric for routing in wired and wireless networks thanks to its simplicity and effectiveness. In spite of that, the hop-count still manifests itself to be low adaptable to the environment in which nodes may be densely distributed and move at high speeds as in mobile ad-hoc networks (MANETs). Several metrics have been proposed as the replacements for...
This paper introduces a Bayesian model to predict and classify the mobility of a node in Mobile Ad-hoc Networks (MANETs). The proposed model does not use the additional information from Global Positioning System (GPS) for its prediction as some existing models did. Instead, it relies on the “average encounter rate” and “node degree” calculated at each node. However, the outcome is still recorded at...
This paper investigates the impact of the hop-count and node density on the network performance of mobile ad-hoc networks (MANETs). The analysis as well as simulation results indicate that the throughput decreases significantly when the packets traverse over a long chain of hops. Especially when the link is beyond 4 hops, the throughput can only get less than 60% of the single hop throughput. In another...
This paper introduces a Bayesian Classifier model to improve the performance for reactive routing protocols in mobile ad-hoc networks (MANETs). The model can help to increase the network throughput and reduce end-to-end delay by controlling the broadcast area. Additional information related to hop-counts and node densities are used to support routing protocol in broadcasting. It is shown that the...
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