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- 저자 : Zhihan Lv (검색결과 3 건)
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Jiang, Dingde,Xu, Zhengzheng,Li, Wenpan,Yao, Chunping,Lv, Zhihan,Li, Tao The Korea Institute of Information and Commucation 2016 Journal of communications and networks Vol.18 No.5
Energy consumption has become a main problem of sustainable development in communication networks and how to communicate with high energy efficiency is a significant topic that researchers and network operators commonly concern. In this paper, an energy-efficient multicast algorithm in multi-hop wireless networks is proposed aiming at new generation wireless communications. Traditional multi-hop wireless network design only considers either network efficiency or minimum energy consumption of networks, but rarely the maximum energy efficiency of networks. Different from previous methods, the paper targets maximizing energy efficiency of networks. In order to get optimal energy efficiency to build network multicast, our proposed method tries to maximize network throughput and minimize networks' energy consumption by exploiting network coding and sleeping scheme. Simulation results show that the proposed algorithm has better energy efficiency and performance improvements compared with existing methods.
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Dingde Jiang,Zhengzheng Xu,Wenpan Li,Chunping Yao,Zhihan Lv,Tao Li 한국통신학회 2016 Journal of communications and networks Vol.18 No.5
Energy consumption has become a main problem of sus-tainable development in communication networks and how to com-municate with high energy efficiency is a significant topic that re-searchers and network operators commonly concern. In this paper,an energy-efficient multicast algorithm in multi-hop wireless net-works is proposed aiming at new generation wireless communica-tions. Traditional multi-hop wireless network design only consid-ers either network efficiency or minimum energy consumption ofnetworks, but rarely the maximum energy efficiency of networks. Different from previous methods, the paper targets maximizingenergy efficiency of networks. In order to get optimal energy ef-ficiency to build network multicast, our proposed method triesto maximize network throughput and minimize networks’ energyconsumption by exploiting network coding and sleeping scheme. Simulation results show that the proposed algorithm has better en-ergy efficiency and performance improvements compared with ex-isting methods.
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Indoor Location Algorithm Based on Kalman Filter and Multi-Source Data Integration
Zhang Ya-qiong,Li Zhao-xing,Li Xin,Lv Zhihan-han 보안공학연구지원센터 2016 International Journal of Database Theory and Appli Vol.9 No.4
For onboard single-station passive direction-finding and location, if there is any abnormal error in the observation data, the extended Kalman filter (EKF) algorithm adopted thereby will cause inaccurate location result. In order to improve algorithm robustness, the robust equivalent gain matrix is constructed according to the standardized prediction residual error and the robust EKF algorithm is applied to the onboard single-station passive direction-finding and location. In allusion to the low efficiency of the robust EKF algorithm, the single-station passive location algorithm based on the improved extended Kalman filter is proposed in this article on the basis of combining F distribution statistic, and meanwhile single abnormal error and continuous abnormal error are added in the observation value to test the algorithm resistance to different abnormal errors. The simulation shows that the algorithm proposed in this article can well weaken the influence of abnormal errors on position estimation and the algorithm based on F distribution discriminant can improve location efficiency.
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