A Secure-Efficient Data Collection Algorithm Based on Self-Adaptive Sensing Model in Mobile Internet of Vehicles  

作　　者：LIANG Wei RUAN Zhiqiang TANG Mingdong LI Peng 

机构地区：[1]Department of Software Engineering,Xiamen University of Technology,Xiamen,Fujian,361024,China [2]Department of Computer Science,Minjiang University,Fuzhou,Fujian 350108,China [3]School of Computer Science and Engineering,Hunan University of Science and Technology,Xiangtan 411201,China

出　　处：《China Communications》2016年第2期121-129,共9页中国通信（英文版）

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);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.JA13248;JA14254 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)

摘　　要：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.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 andreliability of data collection by comparing to other algorithms.

关 键 词：wireless vehicle network datacollection protocol network sensing chain self＇-adaptive sensing sensing distance threshold. 

分 类 号：TN929.5[电子电信—通信与信息系统] TP274[电子电信—信息与通信工程]