A novel multi-criteria multi-agent-based routing strategy based on tarantula mating behavior

Abstract

This paper proposes a routing strategy based on the mating behavior of a species of spider, Tarantula, in which the female Tarantula sometimes eats the male Tarantula just after the mating for food or genetic need. This behavior has been used in a multi-criteria multi-agent-based routing strategy. A hierarchical structure of agents has been considered where the worker agents at the leaf level calculate shortest paths, congestion in a path, number of intermediate nodes, and identify deadlock condition in the network. A master agent at the top of the hierarchy controls them. Fuzzy orientation has been given to calculate fuzzy edge lengths of network instance while finding shortest path and in fuzzy weight calculation in PROMETHEE multi-criteria outranking method. A network instance has been used in order to implement the strategy as proposed in this research study.