Application of stochastic bionic algorithms in wireless self organizing Ad Hoc networks

Savinov Sergey Vladimirovich

Purpose: wireless self-organizing Ad Hoc networks are actively used in their various implementation options (MANET, VANET, WSN) and the need for their rapid integration into current systems comes to the fore, so the adaptation of new algorithms for such networks is a promising direction. The aim of the work is to integrate the bee colony algorithm into the deployment system of wireless self-organizing Ad Hoc and further interaction of network elements using this algorithm. Methods: the solution of the problem of deployment and functioning of wireless self-organizing Ad Hoc networks is based on the use of one of the types of swarm intelligence algorithms – the bee colony algorithm, which is actively used in solving optimization problems. Novelty: the novelty of the presented approach is the integration of the swarm intelligence algorithm (the bee colony algorithm) in the Ad Hoc network. Results: using a stochastic bionic algorithm will change the approach to deploying wireless self-organizing Ad Hoc networks. Practical relevance: the presented approach to the deployment and interaction of nodes of wireless self-organizing Ad Hoc networks will improve the performance of such network infrastructures by using a new approach to drawing up a structure map and a routing map.

Keywords:wireless self-organizing networks, stochastic bionic algorithms, swarm intelligence, bee colony algorithm.