Multi-colony bacteria foraging optimization with cell-to-cell communication for RFID network planning

Applied Soft Computing Journal

Volumn 10, Issue 2, 2010, Pages 539-547

  Chen, Hanning ^a   Zhu, Yunlong ^a   Hu, Kunyuan ^a  

^a SHENYANG INSTITUTE OF AUTOMATION   (China)

Author keywords

Bacteria Foraging Algorithm; GA; MC BFO; PSO; RFID network planning

Indexed keywords

BACTERIAL CELLS; BACTERIAL COMMUNITY; BACTERIAL FORAGING ALGORITHM; CELL-TO-CELL COMMUNICATION; ECONOMIC EFFICIENCY; GLOBAL OPTIMUM; INTERFERENCE LEVEL; LOAD BALANCE; MC-BFO; NETWORK PLANNING; OPTIMIZATION ALGORITHMS; RFID NETWORKS;

COMMUNICATION SYSTEMS; GENETIC ALGORITHMS; MATHEMATICAL MODELS; OPTIMIZATION; RADIO FREQUENCY IDENTIFICATION (RFID); SEMICONDUCTOR COUNTERS;

BACTERIOLOGY;

EID: 70649102122     PISSN: 15684946     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.asoc.2009.08.023     Document Type: Article

References (28)

1. Wan D. Magic medicine cabinet: a situated portal for consumer healthcare. Proceeding of the International Symposium on Handheld and Ubiquitous Computing. Karlsruhe, Germany (1999) 352-355
2. Park D., Choi Y.B., and Nam K.C. RFID-based RTLS for improvement of operation system in container terminals. Int. J. Dig. Obj. Identif. October (2006) 1-5
3. Decker C., Kubach U., and Beigl M. Revealing the retail black box by interaction sensing. Proceedings of the ICDCS. Providence, Rhode Island (2003) 328
4. Krohn A., Zimmer T., Beigl M., and Decker C. Collaborative sensing in a retail store using synchronous distributed jam signalling. Proceedings of the 3rd International Conference on Pervasive Computing. Munich, May (2002) 237-254
5. Guan Q., Liu Y., Yang Y.P., and Yu W.S. Genetic approach for network planning in the RFID systems. Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications, vol. 2 (2006) 567-572
6. Holland J.H. Adaptation in Natural and Artificial Systems (1975), The University of Michigan Press
7. Bonabeau E., Dorigo M., and Theraulaz G. Swarm Intelligence: From Natural to Artificial Systems (1999), Oxford University Press, New York
8. Sandalidis H.G., Stavroulakis P.P., and Rodriguez-Tellez J. Combinatorial evolution strategy-based implementation of dynamic channel assignment in cellular communications. Proceeding of the 6th IEE Conference on Telecommunications (1998) 170-174
9. Jourdan D.B., and de Weck O.L. Layout optimization for a wireless sensor network using a multi-objective genetic algorithm. Proceeding of the IEEE Semiannual Vehicular Technology Conference. Milan, Italy (2004) 2466-2470
10. Cerrum G., De Leo R., Micheli D., and Russo P. Base-station network planning including environmental impact control. IEEE Proceedings-Communications, vol. 151 (2004) 197-203
11. Liang J.J., Suganthan P.N., Chan C.C., and Huang V.L. Wavelength detection in FBG sensor network using tree search DMS-PSO. IEEE Photon. Technol. Lett. 18 12 (2006) 1305-1307
12. Elkamchouchi H.M., Elragal H.M., and Makar M.A. Cellular radio network planning using particle swarm optimization. Proceeding of the 2007 Radio Science Conference (2007) 1-8
13. Passino K.M. Biomimicry of bacterial foraging. IEEE Control Syst. Mag. June (2002) 52-67
14. Muller S.D., Marchetto J., Airaghi S., and Koumoutsakos P. Optimization based on bacterial chemotaxis. IEEE Transac. Evol. Comput. 6 February (1) (2002) 16-29
15. Goldberg D.E. Genetic Algorithms in Search, optimisation and Machine Learning (1989), Addison-Wesley Publishing Corporation, Inc.
16. Kennedy J., and Eberhart R.C. Particle swarm optimization. Proc. IEEE Int. Conf. Neural Netwrk. Piscataway, NJ (1995) 1942-1948
17. Kennedy J., and Eberhart R.C. Swarm Intelligence (2001), Morgan Kaufmann Publishers, San Francisco
18. Katzela I., and Naghshineh M. Channel assignment schemes for cellular mobile telecommunication systems: a comprehensive survey. IEEE Pers. Commun. June (1996) 1031
19. Chen H.N., Zhu Y.L., Hu K.Y., and Niu B. Application of a multi-species optimizer in ubiquitous computing for RFID networks scheduling. Proceeding of The 3rd International Conference on Natural Computation. Hainan, China, vol.2 (2007) 420-425
20. Dong Q.f., Shukla A., Shrivastava V., Agrawal D., Banerjee S., and Kar K. Load balancing in large-scale RFID systems. Comp. Netwrk. 52 9 (2008) 1782-1796
21. Adler J. Chemotaxis in bacteria. Science 153 (1966) 708-716
22. Crespi B.J. The evolution of social behavior in microorganisms. Trends Ecol. Evol. 16 (2001) 178-183
23. Shapiro J.A., and Dworkin M. Bacteria as Multicellular Organisms (1997), Oxford University Press
24. Jacob E.B., Becker I., Shapira Y., and Levin H. Bacterial linguistic communication and social intelligence. Trends Microbiol. 12 8 (2004) 366-372
25. Berg H.C., and Brown D.A. Chemotaxis in Escherichia coli analysed by three-dimensional tracking. Nature 239 (1972) 500-504
26. Park S., Wolanin P., Yuzbashyan E., Silberzan P., Stock J., and Austin R. Motion to form a quorum. Science 301 (2003) 188
27. Shi Y., and Eberhart R.C. Empirical study of particle swarm optimization. Proc. IEEE Congr. Evol. Comput. Washington DC, USA (1999) 1945-1950
28. Sumathi S., Hamsapriya T., and Surekha P. Evolutionary Intelligence: An Introduction to Theory and Applications with Matlab (2008), Springer