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Volumn , Issue , 2008, Pages 1820-1825

A particle swarm optimization approach for the localization of a wireless sensor network

Author keywords

[No Author keywords available]

Indexed keywords

COMMUNICATION RANGING; EXISTING METHODS; LOCALIZATION INFORMATIONS; LOCALIZATION SYSTEMS; LOW COSTS; NEIGHBORING NODES; NETWORK CONNECTIVITIES; NONLINEAR OPTIMIZATION PROBLEMS; OF SENSORS; OPTIMUM LOCATIONS; PARTICLE SWARMS; REAL-TIME APPLICATIONS; SENSOR NODES; SPARSE NETWORKS; WIRELESS SENSORS;

EID: 57849152652     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISIE.2008.4677205     Document Type: Conference Paper
Times cited : (58)

References (14)
  • 1
    • 0037086890 scopus 로고    scopus 로고
    • Wireless sensor networks: A survey
    • I. F. Akyildiz et al., "Wireless sensor networks: a survey," Computer Networks, 2002, vol. 38, pp. 393-422.
    • (2002) Computer Networks , vol.38 , pp. 393-422
    • Akyildiz, I.F.1
  • 3
    • 0035424017 scopus 로고    scopus 로고
    • Location systems for ubiquitous computing
    • J. Hightower and G. Boriello. "Location systems for ubiquitous computing," IEEE Computer, 2001, vol. 34, pp. 57-66.
    • (2001) IEEE Computer , vol.34 , pp. 57-66
    • Hightower, J.1    Boriello, G.2
  • 4
    • 0034291601 scopus 로고    scopus 로고
    • GPS-less low cost outdoor localization for very small devices
    • Oct
    • N. Bulusu, J. Heidemann, and D. Estrin, "GPS-less low cost outdoor localization for very small devices," IEEE Personal Commun., vol. 7, Oct 2000, pp. 28-34.
    • (2000) IEEE Personal Commun , vol.7 , pp. 28-34
    • Bulusu, N.1    Heidemann, J.2    Estrin, D.3
  • 7
    • 85084163355 scopus 로고    scopus 로고
    • Robust positioning algorithm for distributed ad-hoc wireless sensor networks
    • Monterey, CA
    • C. Savarese, J. Rabaey, and K. Langendoen, "Robust positioning algorithm for distributed ad-hoc wireless sensor networks," USENIX technical Annual Conf., Monterey, CA, 2002, pp. 317-328.
    • (2002) USENIX technical Annual Conf , pp. 317-328
    • Savarese, C.1    Rabaey, J.2    Langendoen, K.3
  • 11
    • 40449104444 scopus 로고    scopus 로고
    • Recurrent-Fuzzy-Neural- Network-Controlled Linear Induction Motor Servo Drive Using Genetic Algorithms
    • Jun
    • Faa-Jeng Lin; Po-Kai Huang and W.-D. Chou, "Recurrent-Fuzzy-Neural- Network-Controlled Linear Induction Motor Servo Drive Using Genetic Algorithms", IEEE Trans. Ind. Electron., vol. 54, no. 3, pp 1449-1461, Jun. 2007.
    • (2007) IEEE Trans. Ind. Electron , vol.54 , Issue.3 , pp. 1449-1461
    • Lin, F.-J.1    Huang, P.-K.2    Chou, W.-D.3
  • 12
    • 41349102488 scopus 로고    scopus 로고
    • A Multiobjective Genetic Algorithm for Optimizing the Performance of Hard Disk Drive Motion Control System
    • Jun
    • Kay-Soon Low and Tze-Shyan Wong, "A Multiobjective Genetic Algorithm for Optimizing the Performance of Hard Disk Drive Motion Control System", IEEE Trans. on Ind. Electron., vol. 54, no. 3, pp. 1716-1725, Jun. 2007.
    • (2007) IEEE Trans. on Ind. Electron , vol.54 , Issue.3 , pp. 1716-1725
    • Low, K.-S.1    Wong, T.-S.2
  • 13
    • 33744830896 scopus 로고    scopus 로고
    • Optimal design of digital IIR filters by using hybrid taguchi genetic algorithm
    • Jun
    • J inn-Tsong Tsai; Jyh-Horng Chou; Tung-Kuan Liu, "Optimal design of digital IIR filters by using hybrid taguchi genetic algorithm", IEEE Trans. on Ind. Electron., vol. 53, no. 3, pp. 867-879, Jun. 2006.
    • (2006) IEEE Trans. on Ind. Electron , vol.53 , Issue.3 , pp. 867-879
    • inn-Tsong Tsai, J.1    Horng Chou, J.2    Kuan Liu, T.3
  • 14
    • 84896721435 scopus 로고    scopus 로고
    • Empirical study of particle swarm optimization
    • Washington, DC. Piscataway, NJ: IEEE
    • Y. Shi and R. Eberhart, "Empirical study of particle swarm optimization", in Proc. Congr. Evolutionary Computation, Washington, DC. Piscataway, NJ: IEEE, 1999, pp. 1945-1950.
    • (1999) Proc. Congr. Evolutionary Computation , pp. 1945-1950
    • Shi, Y.1    Eberhart, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.