|
|||||
|
|
| 基于移动性评估的绿色无线传感器网络路由协议 | |
| 引用本文： | 权伟,关建峰,许长桥,张宏科. 基于移动性评估的绿色无线传感器网络路由协议[J]. 中国通信, 2012, 9(5): 10-21 |
| 作者姓名： | 权伟 关建峰 许长桥 张宏科 |
| 摘 要： | |
| 收稿时间： | 2012-07-03; |
G-MER: Green Mobility Estimation-Based Routing Protocol in Wireless Sensor Network |
|
| Quan Wei,Guan Jianfeng,Xu Changqiao,Zhang Hongke. G-MER: Green Mobility Estimation-Based Routing Protocol in Wireless Sensor Network[J]. China Communications, 2012, 9(5): 10-21 | |
| Authors: | Quan Wei Guan Jianfeng Xu Changqiao Zhang Hongke |
| Affiliation: | 1State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, P. R. China 2Institute of Sensing Technology and Business, Beijing University of Posts and Telecommunications, Wuxi 214028, P. R. China 3National Engineering Laboratory for Next Generation Internet Interconnection Devices, Beijing Jiaotong University, Beijing 100044, P. R. China |
| Abstract: | As a core technology of Internet of Things (IoT), Wireless Sensor Network (WSN) has become a research hotspot recently. More and more WSNs are being deployed in highly mobile environments. The fast moving sensor nodes bring significant challenges for the routing decision. In this paper, we propose an efficient logical location method, and designe a mobility estimating metric and derive a novel Green Mobility Estimation-based Routing protocol (G-MER) for WSNs. We also set up a full framework to evaluate its performance. Simulation results illustrate that G-MER achieves a fairly better performance in terms of broadcast times and link failures than AODV. What's more, it decreases the mean hops by about 0.25 and reduces energy consumption by about 10% during the whole experiment. All the results show that G-MER can be effectively used in fast-moving and limited resource scenarios. |
| Keywords: | IoT WSN green routing protocol mobility estimation dynamic window energy consuming model |
| 点击此处可从《中国通信》浏览原始摘要信息 | |
| 点击此处可从《中国通信》下载免费的PDF全文 | |