Department of Computer Engineering, Chungju National University, 72 Daehak-ro, Chungju-si, Chungbuk 380-702, Korea.
Sensors (Basel). 2010;10(11):10328-38. doi: 10.3390/s101110328. Epub 2010 Nov 17.
In this paper, a new data centric storage that is dynamically adapted to the work load changes is proposed. The proposed data centric storage distributes the load of hot spot areas to neighboring sensor nodes by using a multilevel grid technique. The proposed method is also able to use existing routing protocols such as GPSR (Greedy Perimeter Stateless Routing) with small changes. Through simulation, the proposed method enhances the lifetime of sensor networks over one of the state-of-the-art data centric storages. We implement the proposed method based on an operating system for sensor networks, and evaluate the performance through running based on a simulation tool.
在本文中，提出了一种新的数据中心存储，该存储可以动态适应当前的工作负载变化。所提出的数据中心存储通过使用多级网格技术将热点区域的负载分配到相邻的传感器节点。该方法还可以使用现有的路由协议（如 GPSR（贪婪周边无状态路由））进行小的更改。通过仿真，所提出的方法提高了传感器网络的寿命，优于现有的一种数据中心存储。我们基于传感器网络的操作系统实现了所提出的方法，并通过基于仿真工具的运行来评估其性能。
