Open AccessAlgorithm Analysis of WSN Node Multilateral Measurement
Author(s) -
Yang Cheng-hui
Publication year - 2017
Publication title -
destech transactions on engineering and technology research
Language(s) - English
Resource type - Journals
ISSN - 2475-885X
DOI - 10.12783/dtetr/icca2016/6032
Subject(s) - wireless sensor network , computer science , node (physics) , matlab , genetic algorithm , evolutionary algorithm , brooks–iyengar algorithm , algorithm , key distribution in wireless sensor networks , wireless , real time computing , wireless network , computer network , engineering , artificial intelligence , machine learning , telecommunications , operating system , structural engineering
Wireless Sensor Network (WSN) is a Multi-hop self-organizing network system which form through wireless communication. For localization in wireless sensor network node based on Multi-objective evolutionary algorithm has the characteristics of high precision, low energy consumption. This paper uses evolutionary algorithm to locate the WSN node, and uses MATLAB simulation platform to realize the algorithm. The experimental simulation the changing trend of the genetic algorithm in the optimal solution of 100 generation, and to achieve the desired optimal solution within 50 generations. The results show that the Node localization based on Multi-objective evolutionary algorithm is a feasible and efficient positioning algorithm.
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