Abstract
In Ad-Hoc network there are many problems, which can be categorized as an optimization problem such as energy consumption, routing, localization, node deployment. Many researchers have done research to solve these problems and recently new class of routing algorithms came up which is based on Swarm Intelligence. Ant Colony algorithm is inspired from self-organizing behavior of ants which fall under Swarm Intelligence. In this paper, a survey is done on various ant colony based routing algorithms for Wireless Sensor network (WSN) and Mobile Ad-Hoc Network (MANETs). A comparison of various algorithms is made based on performance metrics, pheromone function to select next node, simulator used, energy awareness, etc.
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