지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- Korean Institute of Information Scientists and Engineers Journal of Computing Science and Engineering Journal of Computing Science and Engineering Vol.13 No.4
- 발행연도
- 2019.12
- 수록면
- 163 - 174 (12page)
- DOI
- 10.5626/JCSE.2019.13.4.163
이용수
초록· 키워드
오류제보하기
Currently, the technology advancements have led to significant growth in the application of wireless sensor networks (WSNs) and its remarkable developments. WSNs are the most applicable and least-cost sub-category of existing computer networks. However, WSNs still suffer from energy limitation challenges. Since the energy limitation challenges are not appropriately resolved, prolonging the lifetime of nodes by reducing energy consumption has obtained more attention in this literature. In this paper, while routing is being performed an online clustering approach has been developed for updating the sensors’ clustering, if it is required. The proposed clustering is carried out based on three objectives including reducing the distance between nodes within a cluster, reducing the distance between the cluster head (CH) candidate nodes and the sink node, and online appropriate energy distribution of the nodes in each cluster for each routing round. The improved fuzzy C-means (FCM) algorithm is applied to perform clustering. Additionally, the genetic algorithm (GA) is used as the routing algorithm. In order to evaluate the performance of the proposed FCM-GA algorithm, the DirectTransmission, SH-MEER, and MH-FEER algorithms are compared with FCM-GA. The results show that the proposed FCM-GA algorithm outperforms other algorithms in terms of network lifetime and the number of sent packets.
목차
Abstract
I. INTRODUCTION
II. RELATED WORKS
III. PROPOSED METHOD
IV. RESULTS AND DISCUSSION
V. CONCLUSION AND FUTURE WORKS
REFERENCES
참고문헌 (33)
참고문헌 신청
S. Bana and S. Baghla, “Wireless sensor network,” International Journal of Engineering Science, vol. 6, no. 7, pp. 1706-1712, 2016.
M. Lehsaini, H. Guyennet, and M. Feham, “An efficient cluster-based self-organisation algorithm for wireless sensor networks,” International Journal of Sensor Networks, vol. 7, no. 1-2, pp. 85-94, 2010.
Y. Chen and Q. Zhao, “On the lifetime of wireless sensor networks,” IEEE Communications Letters, vol. 9, no. 11, pp. 976-978, 2005.
Y. Yao, Q. Cao, and A. V. Vasilakos, “EDAL: an energyefficient, delay-aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks,” IEEE/ ACM Transactions on Networking, vol. 23, no. 3, pp. 810- 823, 2015.
J. S. Leu, T. H. Chiang, M. C. Yu, and K. W. Su, “Energy efficient clustering scheme for prolonging the lifetime of wireless sensor network with isolated nodes,” IEEE Communications Letters, vol. 19, no. 2, pp. 259-262, 2015.
M. Lehsaini, H. Guyennet, and M. Feham, “An efficient cluster-based self-organisation algorithm for wireless sensor networks,” International Journal of Sensor Networks, vol. 7, no. 1-2, pp. 85-94, 2010.
Y. Chen and Q. Zhao, “On the lifetime of wireless sensor networks,” IEEE Communications Letters, vol. 9, no. 11, pp. 976-978, 2005.
Y. Yao, Q. Cao, and A. V. Vasilakos, “EDAL: an energyefficient, delay-aware, and lifetime-balancing data collection protocol for heterogeneous wireless sensor networks,” IEEE/ ACM Transactions on Networking, vol. 23, no. 3, pp. 810- 823, 2015.
J. S. Leu, T. H. Chiang, M. C. Yu, and K. W. Su, “Energy efficient clustering scheme for prolonging the lifetime of wireless sensor network with isolated nodes,” IEEE Communications Letters, vol. 19, no. 2, pp. 259-262, 2015.
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