Compressive Sensing Based Data Collection And Recovery In Vehicular Delay Tolerant Network

More and more vehicles are equipped with various types of sensors,and can be exploited as mobile sensors to monitor the road conditions.This network is to use the mobile node to meet opportunities for data communication,and the network is a self-organizing and multi-hop network,called Vehicular Delay Tolerant Network.Data delivery is an important research topic in Vehicular Delay Tolerant Network.Difficulty of Vehicular Delay Tolerant Network data dissemination is to ensure its efficiency and reliability of data transmission in high latency and low data rate network environment.Finally realize data collection and recovery.This paper focuses on Vehicular Delay Tolerant Network,which is a typical representative of the Delay Tolerant Network.Vehicles access road monitoring information by the vehicular network.In this work,the process of road monitoring information collection and recovery is used to compressive sensing,and the monitoring data can be shared among vehicles upon their encounters to facilitate drivers to find a good route.There are two main points of this paper.Firstly,we propose a novel compressive sensing(CS)based scheme to enable efficient decentralized context sharing in vehicular delay tolerant network,called CS-Sharing.CS-Sharing proposes a novel data structure and an aggregation method in delay tolerant network.In the CS-Sharing,when the random and opportunistic vehicles encounter,vehicles only passed a news aggregation message,thereby greatly reduce the communication cost.Based on the aggregation messages,vehicle can form the compressive sensing measurement matrix.We prove that the measurement matrix satisfies the RIP,and propose a recov ery algorithm to accurately recover the full context data.A large number of simulation experiments in ONEs experiment platform,our results from extensive simulations demonstrate that CS-Sharing allows vehicles in a large network to quickly obtain the ful l context data.Secondly,we propose a novel compressive sensing(CS)based urban monitoring scheme,called CS-Monitoring.CS-Monitoring can quickly implement the Monitoring Center(MC)data collection.On the basis of the CS-Sharing,CS-Monitoring to improve the message structure and put forward corresponding news aggregation algorithm.The aggregate messages gathered by the urban MC are independent from each other and the duplicate aggregate message transmission can be avoided to reduce the communication cost.In order to avoid non-monitoring holes,the monitoring center according to the collected aggregated messages fast positioning non-monitoring area.And MC guides the patrol vehicles to go and sense the non-monitoring hole.Our results from extensive simulations demonstrate that CS-Monitoring allows the MC to quickly obtain the full context data with high accuracy and low message cost.