Journal ID : TRKU-01-04-2020-10628
[This article belongs to Volume - 62, Issue - 03]
Total View : 222

Title : Deep Coverage Strategy for Private Wireless Network Power Using Hybrid ( Salp Optimization – Genetic ) Algorithms

Abstract :

This paper introduced new optimization method called improved salp algorithm to development totally covered area with low cost and low radiation in heterogeneous microcellular system for wireless private network. The sensible planning of deep coverage has become increased protrude for location and many base stations that can meet signal coverage of most outdoor environments, but some terminal stations are required with appropriate depth coverage systems and taken with consideration the deep indoors. The proposed algorithm (combine salp optimization algorithm with genetic) are used to complete indoor data collection and a deep coverage optimization. This method aim to improve the original algorithm with enhances the interaction ability between individuals and the information cross-mutation which used to improve the search speed of the algorithm. The simulation results show that the proposed algorithm can effectively optimize multi-target indoor wireless network planning

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