Network and communications models are built for target tracking and pursuing in the Internet of Things (IoT).According to these models,two tracking schemes which jointly optimize the pursuing energy and delay are prop...Network and communications models are built for target tracking and pursuing in the Internet of Things (IoT).According to these models,two tracking schemes which jointly optimize the pursuing energy and delay are proposed.The merits of these schemes are that they can enhance energy efficiency of both the pursuing route and communication in the network.Moreover,experimental results are provided to demonstrate the benefits of the proposed schemes which will be used as optimization schemes for the IoT tracking service.展开更多
It has been demonstrated that either Channel Allocation （CA） or Relay Selection （RS） can improve the performance in relaying networks separately. However, there is little work concerning their combination in multi...It has been demonstrated that either Channel Allocation （CA） or Relay Selection （RS） can improve the performance in relaying networks separately. However, there is little work concerning their combination in multi-cell uplink scenarios. In this paper, we investigate the issue which considers the CA and RS to optimize the system transmission rate in an uplink scenario, while maintaining the resource distribution fairness among users. This is first formulated as an optimization problem for a linear cellular system, where the same frequency channels can be reused in different cells. Based on the link and co-channel interference conditions, two low-complexity CA and RS schemes are then proposed with different decomposition se quences. Finally, numerical results are con ducted to verify the effectiveness of the pro posed CA and RS methods. Simulations re suits show that the proposed methods can yield significant improvements in system per formance in terms of average sum rate.展开更多
基金supported by the Special Funds for Key Program of China(No.2009ZX01039-002-001-07,2010ZX03005-001-03)the National Natural Science Foundation of China(Grant Nos.61070205and61070206)+1 种基金Beijing Municipal Commission of Education Build Together Project Ministry of Education Infrastructure Construction Project(2-5-2)
文摘Network and communications models are built for target tracking and pursuing in the Internet of Things (IoT).According to these models,two tracking schemes which jointly optimize the pursuing energy and delay are proposed.The merits of these schemes are that they can enhance energy efficiency of both the pursuing route and communication in the network.Moreover,experimental results are provided to demonstrate the benefits of the proposed schemes which will be used as optimization schemes for the IoT tracking service.
基金supported by the Key Project of State Key Laboratory of Rail Traffic and Control under Grant No.RCS2012ZZ004the Fundamental Research Funds for the Central Universities under Grant No. 2013YJS025
文摘It has been demonstrated that either Channel Allocation （CA） or Relay Selection （RS） can improve the performance in relaying networks separately. However, there is little work concerning their combination in multi-cell uplink scenarios. In this paper, we investigate the issue which considers the CA and RS to optimize the system transmission rate in an uplink scenario, while maintaining the resource distribution fairness among users. This is first formulated as an optimization problem for a linear cellular system, where the same frequency channels can be reused in different cells. Based on the link and co-channel interference conditions, two low-complexity CA and RS schemes are then proposed with different decomposition se quences. Finally, numerical results are con ducted to verify the effectiveness of the pro posed CA and RS methods. Simulations re suits show that the proposed methods can yield significant improvements in system per formance in terms of average sum rate.
