| Clustering in mobile ad hoc network based on neural network |
| |
| 作者姓名： | 陈爱斌 蔡自兴 胡德文 |
| |
| 作者单位： | [1]School of Information Science and Engineering, Central South University, Changsha 410083, China [2]School of Computer Science, Central South University of Forestry ＆ Technology, Changsha 410004, China [3]College of Mechatronics and Automation, National University of Defense Technology, Changsha 410073, China |
| |
| 基金项目： | 国家重点基础研究发展计划(973计划);国家自然科学基金;中南林业科技大学校科研和教改项目 |
| |
| 摘 要： | 1 INTRODUCTION Multi-hop wireless network is an ideal technology to establish an instant communication infrastructure for civilian and military applications. Its applications include collaborative, distributed mobile computing, disaster recovery, law enforcement (crowd control, search and rescue), digital battlefield communications, and so on1]. Such situations demand a network where all the nodes including the base stations are potentially mobile, and communication must be supported unwi…
|
| 关 键 词： | 移动通信网 ad hoc网 神经网络 聚类算法 |
| 收稿时间： | 2006-03-18 |
| 修稿时间： | 2006-04-30 |
Clustering in mobile ad hoc network based on neural network |
| |
| Chen Ai-bin , Cai Zi-xing and Hu De-wen.Clustering in mobile ad hoc network based on neural network[J].Journal of Central South University of Technology,2006,13(6):699-702. |
| |
| Authors: | Chen Ai-bin Cai Zi-xing and Hu De-wen |
| |
| Affiliation: | (1) School of Information Science and Engineering, Central South University, Changsha, 410083, China;(2) School of Computer Science, Central South University of Forestry & Technology, Changsha, 410004, China;(3) College of Mechatronics and Automation, National University of Defense Technology, Changsha, 410073, China |
| |
| Abstract: | An on-demand distributed clustering algorithm based on neural network was proposed. The system parameters and the combined weight for each node were computed, and cluster-heads were chosen using the weighted clustering algorithm, then a training set was created and a neural network was trained. In this algorithm, several system parameters were taken into account, such as the ideal node-degree, the transmission power, the mobility and the battery power of the nodes. The algorithm can be used directly to test whether a node is a cluster-head or not. Moreover, the clusters recreation can be speeded up. |
| |
| Keywords: | ad hoc network clustering neural network |
| 本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录！ |
|
