A New WSNs Localization Based on Improved Fruit Flies Optimization Algorithm

DOI

10.2991/iccia-17.2017.104How to use a DOI?

Keywords

wireless sensor networks, node localization, fruit fly optimization algorithm, intelligent algorithm.

Abstract

A new node localization approach of Wireless Sensor Networks based on improved fruit fly optimization algorithm is presented to optimize the location accuracy. This approach reduce the distance error between the unknown node and beacon node by improved fruit fly optimization algorithm. Then, instruct the influence of different initial position, different population group and different number of beacons on the localization accuracy. Simulation results indicate that the localization algorithm is simple, fast convergence and high accuracy. Compared the localization accuracy that is optimized by improved APIT and improved PSO with improved fruit fly optimization algorithm, the algorithm based on improved fruit fly optimization algorithm is more accurate than other intelligent algorithm in WSNs node localization.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Haiyun Wang
PY  - 2016/07
DA  - 2016/07
TI  - A New WSNs Localization Based on Improved Fruit Flies Optimization Algorithm
BT  - Proceedings of the 2nd International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2017)
PB  - Atlantis Press
SP  - 616
EP  - 620
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-17.2017.104
DO  - 10.2991/iccia-17.2017.104
ID  - Wang2016/07
ER  -