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Original research paper: Multi-colony bacteria foraging optimization with cell-to-cell communication for RFID network planning
Source Applied Soft Computing archive
Volume 10 , Issue 2 (March 2010) table of contents
Pages: 539-547
Year of Publication: 2010
ISSN:1568-4946
Authors
Hanning Chen Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Faculty Office III, Nanta Street 114#, Dongling District, Shenyang 110016, China
Yunlong Zhu Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Faculty Office III, Nanta Street 114#, Dongling District, Shenyang 110016, China
Kunyuan Hu Key Laboratory of Industrial Informatics, Shenyang Institute of Automation, Chinese Academy of Sciences, Faculty Office III, Nanta Street 114#, Dongling District, Shenyang 110016, China
Publisher
Elsevier Science Publishers B. V. Amsterdam, The Netherlands, The Netherlands
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DOI Bookmark: 10.1016/j.asoc.2009.08.023


ABSTRACT

In order to obtain accurate and reliable network planning in the Radio Frequency Identification (RFID) communication system, the locations of readers and the associated values for each of the reader parameters have to be determined. All these choices must optimize a set of objectives, such as tag coverage, economic efficiency, load balance, and interference level between readers. This paper proposes a novel optimization algorithm, namely the multi-colony bacteria foraging optimization (MC-BFO), to solve complex RFID network planning problem. The main idea of MC-BFO is to extend the single population bacterial foraging algorithm to the interacting multi-colony model by relating the chemotactic behavior of single bacterial cell to the cell-to-cell communication of bacterial community. With this multi-colony cooperative approach, a suitable diversity in the whole bacterial community can be maintained. At the same time, the cell-to-cell communication mechanism significantly speeds up the bacterial community to converge to the global optimum. Then a mathematical model for planning RFID networks is developed based on the proposed MC-BFO. The performance of MC-BFO is compared to both GA and PSO on RFID network planning problem, demonstrating its superiority.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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Collaborative Colleagues:
Hanning Chen: colleagues
Yunlong Zhu: colleagues
Kunyuan Hu: colleagues

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