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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.
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.
An Accurate Method to Estimate Traffic Matrices from Link Loads for QoS Provision
Wang, Xingwei,Jiang, Dingde,Xu, Zhengzheng,Chen, Zhenhua The Korea Institute of Information and Commucation 2010 Journal of communications and networks Vol.12 No.6
Effective traffic matrix estimation is the basis of efficient traffic engineering, and therefore, quality of service provision support in IP networks. In this study, traffic matrix estimation is investigated in IP networks and an Elman neural network-based traffic matrix inference (ENNTMI) method is proposed. In ENNTMI, the conventional Elman neural network is modified to capture the spatio-temporal correlations and the time-varying property, and certain side information is introduced to help estimate traffic matrix in a network accurately. The regular parameter is further introduced into the optimal equation. Thus, the highly ill-posed nature of traffic matrix estimation is overcome effectively and efficiently.
An Accurate Method to Estimate Traffic Matrices from Link Loads for QoS Provision
Xingwei Wang,Dingde Jiang,Zhengzheng Xu,Zhenhua Chen 한국통신학회 2010 Journal of communications and networks Vol.12 No.6
Effective traffic matrix estimation is the basis of efficient traffic engineering, and therefore, quality of service provision support in IP networks. In this study, trafficmatrix estimation is investigated in IP networks and an Elman neural network-based traffic matrix inference (ENNTMI) method is proposed. In ENNTMI,the conventional Elman neural network is modified to capture the spatio-temporal correlations and the time-varying property, and certain side information is introduced to help estimate traffic matrix in a network accurately. The regular parameter is further introduced into the optimal equation. Thus, the highly ill-posed nature of traffic matrix estimation is overcome effectively and efficiently.