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WSN中基于位置预测的地理路由算法
引用本文:王振朝,侯欢欢,连蕊.WSN中基于位置预测的地理路由算法[J].计算机科学,2018,45(5):59-63.
作者姓名:王振朝  侯欢欢  连蕊
作者单位:河北大学电子信息工程学院 河北 保定071002;河北省数字医疗工程重点实验室 河北 保定071002,河北大学电子信息工程学院 河北 保定071002,河北大学电子信息工程学院 河北 保定071002
基金项目:本文受河北省自然科学基金(F2014201168)资助
摘    要:为了提高高动态无线传感器网络的通信性能,提出了一种新的地理路由方案(Efficient Geographic Routing Scheme Based on Location Prediction and Energy Saving,LPESGR)。首先,给出了ESGR节能地理路由算法和GPS与RSSI相结合的节点定位及预测算法;然后,在两个算法的基础上提出了一种基于能源高效性的路由实时搜索算法来搜索能源消耗最小的实际路由;最后,提出了一种新的路由空洞解决方案,该方案避免了传统方案中的不足。除此之外,为提高能量利用率,降低路由中断概率,提出了一种新的基于信号传送距离预测结果的功率实时调整方案。仿真结果表明,所提方案可以有效减小网络能耗并提高数据传输成功率。

关 键 词:无线传感器网路  地理路由  地理位置预测  能量利用率
收稿时间:2017/3/24 0:00:00
修稿时间:2017/5/4 0:00:00

Geographic Routing Algorithm Based on Location Prediction in WSN
WANG Zhen-chao,HOU Huan-huan and LIAN Rui.Geographic Routing Algorithm Based on Location Prediction in WSN[J].Computer Science,2018,45(5):59-63.
Authors:WANG Zhen-chao  HOU Huan-huan and LIAN Rui
Affiliation:College of Electronic & Information Engineering,Hebei University,Baoding,Hebei 071002,China;Key Laboratory of Digital Medical Engineering of Hebei Province,Baoding,Hebei 071002,China,College of Electronic & Information Engineering,Hebei University,Baoding,Hebei 071002,China and College of Electronic & Information Engineering,Hebei University,Baoding,Hebei 071002,China
Abstract:In order to improve the performance of network communication in high dynamic wireless sensor network,a new technical scheme(LPESGR) was presented. First,an energy-saving geographic routing algorithm ESGR and a node localization and prediction algorithm combining GPS with RSSI were provided. Then,a routing real-time search algorithm based on energy efficiency was proposed to search the actual route with the least energy consumption on the basis of the above two algorithms. At last,a new solution for the routing hole was proposed,which can avoid the shortco-mings of the traditional scheme. In addition,for the purpose of increasing the energy utilization rate and reducing the probability of route disruption,a new power real-time adjustment scheme based on the prediction distance of signal transmission was put forward. Simulation results demonstrate that the scheme can effectively reduce the network energy consumption and increase the success rate for data transmission.
Keywords:Wireless sensor network  Geographic routing  Location prediction  Energy utilization rate
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