Existing research on data collection using wireless mobile vehicle network emphasizes the reliable delivery of information.However,other performance requirements such as life cycle of nodes,stability and security are ...Existing research on data collection using wireless mobile vehicle network emphasizes the reliable delivery of information.However,other performance requirements such as life cycle of nodes,stability and security are not set as primary design objectives.This makes data collection ability of vehicular nodes in real application environment inferior.By considering the features of nodes in wireless IoV,such as large scales of deployment,volatility and low time delay,an efficient data collection algorithm is proposed for mobile vehicle network environment.An adaptive sensing model is designed to establish vehicular data collection protocol.The protocol adopts group management in model communication.The vehicular sensing node in group can adjust network sensing chain according to sensing distance threshold with surrounding nodes.It will dynamically choose a combination of network sensing chains on basis of remaining energy and location characteristics of surrounding nodes.In addition,secure data collection between sensing nodes is undertaken as well.The simulation and experiments show that the vehicular node can realize secure and real-time data collection.Moreover,the proposed algorithm is superior in vehicular network life cycle,power consumption and reliability of data collection by comparing to other algorithms.展开更多
To enhance the communication quality of Open Flow controlled all-optical networks,an optical signal-to-noise ratio comprehensive-awareness(OSNR-CA) model based lightpath control scheme is proposed.This approach transf...To enhance the communication quality of Open Flow controlled all-optical networks,an optical signal-to-noise ratio comprehensive-awareness(OSNR-CA) model based lightpath control scheme is proposed.This approach transforms main physical-layer optical impairments into OSNR value,and takes this comprehensive OSNR value of the optical signal along the lightpath into consideration,when establishing the lightpath for the connection request using OpenFlow protocol.Moreover,the proposed scheme makes full advantages of the OSNR monitoring function in each node,and assigns the lightpath according to the comprehensive-OSNR value by extending messages of Open Flow protocol,in order to guarantee the reliable establishment of the lightpath.The simulation results show that the proposed scheme has better performance in terms of packet loss rate and lightpath establishment time.展开更多
基金supported by the National Nature Science Foundation of China(Grant61572188)A Project Supported by Scientif ic Research Fund of Hunan Provincial Education Department(14A047)+4 种基金the Natural Science Foundation of Fujian Province(Grant no.2014J05079)the Young and Middle-Aged Teachers Education Scientific Research Project of Fujian province(Grant nos.JA13248JA14254 and JA15368)the special scientific research funding for colleges and universities from Fujian Provincial Education Department(Grant no.JK2013043)the Research Project supported by Xiamen University of Technology(YKJ15019R)
文摘Existing research on data collection using wireless mobile vehicle network emphasizes the reliable delivery of information.However,other performance requirements such as life cycle of nodes,stability and security are not set as primary design objectives.This makes data collection ability of vehicular nodes in real application environment inferior.By considering the features of nodes in wireless IoV,such as large scales of deployment,volatility and low time delay,an efficient data collection algorithm is proposed for mobile vehicle network environment.An adaptive sensing model is designed to establish vehicular data collection protocol.The protocol adopts group management in model communication.The vehicular sensing node in group can adjust network sensing chain according to sensing distance threshold with surrounding nodes.It will dynamically choose a combination of network sensing chains on basis of remaining energy and location characteristics of surrounding nodes.In addition,secure data collection between sensing nodes is undertaken as well.The simulation and experiments show that the vehicular node can realize secure and real-time data collection.Moreover,the proposed algorithm is superior in vehicular network life cycle,power consumption and reliability of data collection by comparing to other algorithms.
基金supported by the National High Technical Research and Development Program of China(863 Program)(No.2012AA050804)
文摘To enhance the communication quality of Open Flow controlled all-optical networks,an optical signal-to-noise ratio comprehensive-awareness(OSNR-CA) model based lightpath control scheme is proposed.This approach transforms main physical-layer optical impairments into OSNR value,and takes this comprehensive OSNR value of the optical signal along the lightpath into consideration,when establishing the lightpath for the connection request using OpenFlow protocol.Moreover,the proposed scheme makes full advantages of the OSNR monitoring function in each node,and assigns the lightpath according to the comprehensive-OSNR value by extending messages of Open Flow protocol,in order to guarantee the reliable establishment of the lightpath.The simulation results show that the proposed scheme has better performance in terms of packet loss rate and lightpath establishment time.
