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학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
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연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2019.1
- 수록면
- 87 - 94 (8page)
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초록· 키워드
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A wireless sensor network is emerging technology and intelligent wireless communication paradigm that is dynamically aware of its surrounding environment. It is also able to respond to it in order to achieve reliable and efficient communication. The dynamical cognition capability and environmental adaptability rely on organizing dynamical networks effectively. However, optimally clustering the cognitive wireless sensor networks is an NP-complete problem. The objective of this paper is to develop an optimal sensor network design for maximizing the performance. This proposed Ranking Artificial Bee Colony (RABC) is developed based on Artificial Bee Colony (ABC) with ranking strategy. The ranking strategy can make the much better solutions by combining the best solutions so far and add these solutions in the solution population when applying ABC. RABC is designed to adapt to topological changes to any network graph in a time. We can minimize the total energy dissipation of sensors to prolong the lifetime of a network to balance the energy consumption of all nodes with robust optimal solution. Simulation results show that the performance of our proposed RABC is better than those of previous methods (LEACH, LEACH-C, and etc.) in wireless sensor networks. Our proposed method is the best for the 100 node-network example when the Sink node is centrally located.
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등록된 정보가 없습니다.
참고문헌 (15)
참고문헌 신청
Heinzelman, W. R. / 2002 / An Application-Specific Protocol Architecture for Wireless Micro-sensor Networks / IEEE Transactions on Wireless Communications 1(4):660~670
Heinzelman, W. R. / 2000 / Energy-efficient communication protocol for wireless micro-sensor networks / Proceedings of the Hawaii International Conference on System Sciences
Hussain, S. / 2007 / Genetic algorithm for hierarchical wireless sensor networks / Journal of Networks 2(5):87~97
Ibriq, J. / 2004 / Cluster-based routing in wireless sensor network：Issues and Challenges / SPECTS’04 :759~766
Jin, S. / 2003 / Sensor network optimization using a genetic algorithm / Proceedings of the 7th world Muti-conference on Systems, Cybernetics and Informatics
Heinzelman, W. R. / 2000 / Energy-efficient communication protocol for wireless micro-sensor networks / Proceedings of the Hawaii International Conference on System Sciences
Hussain, S. / 2007 / Genetic algorithm for hierarchical wireless sensor networks / Journal of Networks 2(5):87~97
Ibriq, J. / 2004 / Cluster-based routing in wireless sensor network：Issues and Challenges / SPECTS’04 :759~766
Jin, S. / 2003 / Sensor network optimization using a genetic algorithm / Proceedings of the 7th world Muti-conference on Systems, Cybernetics and Informatics
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