In this paper, we conduct research on the wireless sensor network management methods based on the runtime model. With the deepening of the research, scalability and maintainability of wireless sensor network has become an important target of its application promotion. Consider that the nodes randomly distributed monitoring area, looking for a complete coverage of this area several disjoint nodes which uses genetic algorithm to optimize the network survival time nodes and corresponding coverage. From the point of view of software engineering, most of the specific software system knowledge hidden in the program and document, the model as the main content of the document and procedures of high-level abstractions. The management of the network is urgently needed. As the additional research, we also conduct theoretical analysis on the wireless sensor network security enhancement methodology with the tradition game theory and mathematical optimization approaches which will be meaningful. Game theory is on the interaction between much of decision-making behavior has, according to the different subjects in the control information and the cognition of their own capabilities which will be a novel method for the analysis. The numerical simulation shows that our method performed better compared with other related approaches. In the future, more research will be conducted to polish the current method.
목차
Abstract 1. Introduction 2. Our Proposed Methodology and Approach 2.1. The Runtime Model and Cloud Environment 2.2. The Wireless Sensor Network Management 3. Experimental Analysis and Simulation 4. Conclusion and Summary Acknowledgements References
보안공학연구지원센터(IJFGCN) [Science & Engineering Research Support Center, Republic of Korea(IJFGCN)]
설립연도
2006
분야
공학>컴퓨터학
소개
1. 보안공학에 대한 각종 조사 및 연구
2. 보안공학에 대한 응용기술 연구 및 발표
3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최
4. 보안공학 기술의 상호 협조 및 정보교환
5. 보안공학에 관한 표준화 사업 및 규격의 제정
6. 보안공학에 관한 산학연 협동의 증진
7. 국제적 학술 교류 및 기술 협력
8. 보안공학에 관한 논문지 발간
9. 기타 본 회 목적 달성에 필요한 사업
간행물
간행물명
International Journal of Future Generation Communication and Networking
간기
격월간
pISSN
2233-7857
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Future Generation Communication and Networking Vol.9 No.3