Modified Monarch Butterfly Optimization Algorithm for RFID Network Planning

Ivana Strumberger, Eva Tuba, Nebojsa Bacanin, Marko Beko, Milan Tuba

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

This paper presents an implementation of the modified monarch butterfly optimization algorithm for solving the RFID network planning problem. This problem is one of the most studied challenges in the RFID domain, and was not tackled with the monarch butterfly optimization metaheuristic before. RFID system consists of tags and readers, where readers access from certain distance the information that is stored in tags. By testing basic monarch butterfly algorithm, we noticed that the algorithm can be improved by enhancing exploitation in the late iterations. We tested our approach on the standard RFID model and data set, and conducted comparative analysis with other approaches. According to the performed experiments, we concluded that the modified monarch butterfly optimization can be successfully applied to the RFID network planning problem.

Original languageEnglish
Title of host publicationProceedings of 2018 6th International Conference on Multimedia Computing and Systems, ICMCS 2018
EditorsAbdelaaziz El Hibaoui, Youssef Zaz, Mohamed Essaaidi
PublisherIEEE Computer Society
ISBN (Electronic)9781538662205
DOIs
Publication statusPublished - 6 Nov 2018
Event6th International Conference on Multimedia Computing and Systems, ICMCS 2018 - Rabat, Morocco
Duration: 10 May 201812 May 2018

Publication series

NameInternational Conference on Multimedia Computing and Systems - Proceedings
PublisherIEEE Computer Society
Volume2018-May
ISSN (Print)2472-7652

Conference

Conference6th International Conference on Multimedia Computing and Systems, ICMCS 2018
CountryMorocco
CityRabat
Period10/05/1812/05/18

Keywords

  • enhancement
  • monarch butterfly opti-mization
  • RFID planning problem
  • swarm intelligence

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