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EECHE
- easily understand the energy efficient clustering head selection approach of wireless sensor network.
05552317
- In wireless sensor networks, the power resource of each sensor node is limited. Minimizing energy dissipation and maximizing network lifetime are important issues in the design of routing protocols for sensor networks. In this paper, Cluster
WSN-using-matlab
- In our work we extend the LEACH s cluster head selection algorithm in WSN based on different node characteristics like, density, centrality and energy. This paper focuses on increasing the lifetime of wireless sensor networks.
wsnmg
- 定位技术是无线传感器网络中关键的基础支撑技术, 目前提出了许多静态网络的节点定位算 法, 移动无线传感器网络的定位研究相对较少. 针对定位节点和参考节点随机运动的网络模型, 提出了 一个基于动态网格划分的蒙特卡罗定位算法. 算法中当接收的参考节点数超过一定阈值时使用最远距 离节点选择模型, 选出部分参考节点参与定位和信息转发, 节约能耗. 接着基于选择的或所有接收的参 考节点构建采样区域, 进行网格划分, 使用网格单元数计算最大采样次数, 在采样区域内采样并使用误 差补偿的运
Closer-Destination-Selection-Scheme-for-Mobile.ra
- In wireless sensor networks (WSNs), the benefits of exploiting the sink mobility to prolong network lifetime have been well recognized. In physical environments, all kinds of obstacles could exit in the sensing field. Therefore, a research challeng