Cross-layer Balanced and Reliable Opportunistic Routing Algorithm for Mobile Ad Hoc Networks
Ning Li, Jose-Fernan Martinez-Ortega, Vicente Hernandez Diaz

TL;DR
This paper introduces CBRT, a cross-layer opportunistic routing algorithm for MANETs that enhances efficiency and reliability through fuzzy logic, topology control, and link prediction, outperforming existing methods without added complexity.
Contribution
The paper proposes a novel CBRT routing algorithm integrating fuzzy logic, topology control, and link lifetime prediction for improved MANET performance.
Findings
CBRT outperforms ExOR in network performance.
Fuzzy logic reduces rule complexity and maintains scalability.
Node mobility impact is effectively mitigated by link prediction.
Abstract
For improving the efficiency and the reliability of the opportunistic routing algorithm, in this paper, we propose the cross-layer and reliable opportunistic routing algorithm (CBRT) for Mobile Ad Hoc Networks, which introduces the improved efficiency fuzzy logic and humoral regulation inspired topology control into the opportunistic routing algorithm. In CBRT, the inputs of the fuzzy logic system are the relative variance (rv) of the metrics rather than the values of the metrics, which reduces the number of fuzzy rules dramatically. Moreover, the number of fuzzy rules does not increase when the number of inputs increases. For reducing the control cost, in CBRT, the node degree in the candidate relays set is a range rather than a constant number. The nodes are divided into different categories based on their node degree in the candidate relays set. The nodes adjust their transmission…
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