This paper proposes an improved protocol based on the Ivy algorithm (IVYA), which employs offline optimization with a weighted fitness function based on quality of service (QoS) to determine the optimal zone radius configuration.
Preliminary results support the value of combining QoS admission, multi-objective path selection, and rapid backup-route switching for reliable communication in dynamic ad hoc networks.
The findings indicate that lightweight machine learning, when bounded by explicit energy and security constraints, can improve adaptive routing in dynamic MANET environments.
Dynamic traffic conditions represent one of the most disruptive factors in Vehicular Ad Hoc Network (VANET) routing, inducing network congestion, elevated packet drop, and increased delay. Conventional proactive routing protocols such as Destination-Sequenced Distance Vector (DSDV), with their static parameter configur...
Different routing methods for cognitive sensor networks are looked at, including drop ratio, which will assist in lowering the cost of living and guarantee that the data can be handled by nodes with a low dropping ratio.
A novel energy-efficient multipath routing for load balancing (EMRD-LB) is capable of improving the routing performance and reducing delay, reduces packets dropping and improves data receiving.
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