BPSO를 이용한 리포팅 셀 위치관리시스템 최적 설계

다국어 초록 (Multilingual Abstract)

The objective of this paper is to propose a Binary Particle Swarm Optimization(BPSO) for design of reporting cell management system. The assignment of cells to reporting or non-reporting cells is an NP-complete problem having an exponential complexity in the Reporting Cell Location Management(RCLM) system. The number of reporting cells and which cell must be reporting cell should be determined to balance the registration(location update) and search(paging) operations to minimize the cost of RCLM system. Experimental results demonstrate that BPSO is an effective and competitive approach in fairly satisfactory results with respect to solution quality and execution time for the optimal design of location management system.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 본론
• 3. 실험결과 및 분석
• 4. 결론
• 참고문헌

참고문헌 (Reference)

1 조재훈, "상호정보량과 Binary Particle Swarm Optimization을 이용한 속성선택 기법" 한국지능시스템학회 19 (19): 191-196, 2009

2 김 성 수, "무선통신네트워크에서 위치관리 최적설계를 위한 최대-최소개미시스템과 랭크개미시스템의 혼합 방법" 대한전기학회 56 (56): 1309-1314, 2007

3 김성수, "랭킹개미군전략을 이용한 리포팅셀 위치관리시스템 최적 설계" 대한산업공학회 19 (19): 168-173, 2006

4 Godim, "genetic algorithms and the location area partitioning problem in cellular networks" 1996

5 Bar, "Tracking mobile users in wireless communications networks" 39 : 1877-1886, 1993

6 Kennedy, "Particle Swarm Optimization" 1995

7 Hac, A, "Locating strategies for personal communication networks：A novel tracking strategy" 15 : 1425-1436, 1997

8 이상헌, "Hybrid-PSO 해법을 이용한 수요지 제한이 있는 다용량 차량경로문제" 대한산업공학회 35 (35): 150-159, 2009

9 Subrata, R, "Evolving cellular automata for location management in mobile computing networks" 14 (14): 13-26, 2003

10 Subrata, R, "A comparison of three artificial life techniques for reporting cell planning in Mobile Computing" 14 (14): 142-153, 2003

11 Kennedy, "A Discrete Binary Version of the Particle Swarm Algorithm" 1997