Optimal Hops-Based adaptive Clustering Algorithm

摘要：

This paper proposes an optimal hops-based adaptive clustering algorithm (OHACA). The algorithm sets an energy selection threshold before the cluster forms so that the nodes with less energy are more likely to go to sleep immediately. In setup phase, OHACA introduces an adaptive mechanism to adjust cluster head and load balance. And the optimal distance theory is applied to discover the practical optimal routing path to minimize the total energy for transmission. Simulation results show that OHACA prolongs the life of network, improves utilizing rate and transmits more data because of energy balance.

关键词： Adaptive clustering multi-hops load balance energy thresh

作者: Xin Xuan Jian Chen Shanshan Zhen Yonghong Kuo

作者单位: School of Telecommunication Engineering Xidian University Xian, China

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 38-41

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）