並列摘要
Wireless sensor networks rise sharply recently. It has potential to monitor environments for both military and civil applications. A wireless sensor network is composed of a distributed collection of nodes, each of which has sensing, computation, communication and locomotion capabilities. To support a large number of sensors on location, deployment, and tracking of wireless sensor networks, the location and the number of the nodes that perform data fusion and data aggregation are usually the important point of problem. In this paper we suppose an algorithm to network these sensors into cluster-based network. By way of Genetic Algorithm to find the location of cluster-heads and balance load among these clusters simultaneously to extend the lifetime of wireless sensor networks.
延伸閱讀
- 陳振忠（2009）。A Genetic Algorithm for Maximum Lifetimein Wireless Sensor Networks〔碩士論文，中原大學〕。華藝線上圖書館。https://doi.org/10.6840/CYCU.2009.00727
- Liu, X. (2021). Research on Optimization of Wireless Sensor Network Architecture. International Core Journal of Engineering, 7(2), 303-306. https://doi.org/10.6919/ICJE.202102_7(2).0039
- 夏偉翔（2008）。Study of Deployment and Performance Analysis of Wireless Sensor Network〔碩士論文，國立臺北科技大學〕。華藝線上圖書館。https://doi.org/10.6841/NTUT.2008.00183
- Lin, C. H. (2009). An Adaptive Guiding Protocol in Wireless Sensor Networks [master's thesis, National Tsing Hua University]. Airiti Library. https://doi.org/10.6843/NTHU.2009.00630
- Yeh, S. Y. (2006). Lifetime-Based Non-Uniform Deployment for Wireless Sensor Networks [master's thesis, National Tsing Hua University]. Airiti Library. https://www.airitilibrary.com/Article/Detail?DocID=U0016-1303200709321780