Título: Improving AODV Routing Protocol For Mobile Ad-Hoc Networks Using Swarm-Based Algorithms
Autores: Santana Junior, Clodomir;Alves, Emilly;Figueiredo, Elliackin;Macedo, Mariana;Santos, Pedro;Bastos-Filho, Carmelo;Siqueira, Hugo;Gokhale, Anuhandra
This paper investigates the application of bio-inspired Swarm-based algorithms – Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) – to improve the capability of the Ad Hoc On-Demand Distance Vector (AODV) routing protocol to recover broken connections that occur due to the mobility of nodes in Mobile ad-hoc networks (MANETs). We use the algorithms as mentioned earlier to calculate the weight of a function based on the number of hops traveled by the package, the number of hops to reach the destiny, source node connectivity and the predecessor node connectivity. We compare the obtained results with the standard version of the AODV. The results show that the proposed approach with both ABC and PSO algorithms are capable of achieving better results than the standard AODV protocol concerning routing overhead, delay, and packet delivery ratio.
Código DOI: 10.21528/CBIC2017-93
Artigo em pdf: cbic-paper-93.pdf
Arquivo BibTeX: cbic-paper-93.bib