Trustworthiness Evaluation-based RoutingProtocol for Incompletely PredictableVehicular Ad hoc Networks
Incompletely predictable vehicular ad hoc networks is a type of networks where vehicles move in a certain range or just in a particular tendency, which is very similar to some circumstances in reality. However, how to route in such type of networks more efficiently according to the node motion characteristics and related historical big data is still an open issue. In this paper, we propose a novel routing protocol named trustworthiness evaluation-based routing protocol (TERP). In our protocol, trustworthiness of each individual is calculated by the cloud depending on the attribute parameters uploaded by the corresponding vehicle. In addition,according to the trustworthiness provided by the cloud, vehicles in the network choose reliable forward nodes and complete the entire route. The analysis shows that our protocol can effectively improve the fairness of the trustworthiness judgement. In the simulation, our protocol has a good performance in terms of the packet delivery ratio, normalized routing overhead and average end-to-end delay.
- After having an appropriate algorithm to compute the vehicle trustworthiness, a robust center for big data collection, analysis and trustworthiness distribution is also demanded. As is well known, the most important features of cloud computing are distributed computing and mass storage.
- Applying the features of cloud computing into practice,researchers have proposed many outstanding schemes and protocols in their own fields. It is a good choice to use the cloud to collect, store and analyze attribute parameters to provide the trustworthiness of any vehicle to the nodes querying for the vehicle’s trustworthiness
DISADVANTAGES OF EXISTING SYSTEM:
- Although many protocols have been proposed for vehicle networks,some open issues, such as network feature utilization and trustworthiness evaluation, etc., have not yet been resolved.
- From one side, relationships among different timestamps and positions in the same vehicle are not fully used as the important information for routing search.
- In traditional routing protocols, routing situations at each moment are usually considered separately. However, the continuity of vehicle movement in time is ignored.
- On the other side,there is no way to completely avoid the current trustworthiness mechanism from providing false or unfair trustworthiness value.
- In a trusted scheme or mechanism, its own trustworthiness value is mainly given by the node itself, or decided by team members
- In this paper, we proposed a trustworthiness evaluation based routing protocol (TERP). The trustworthiness of every vehicle is taken into consideration, which is obtained through the attribute parameters of the vehicle and is provided by the cloud. The cloud is used in order to host the vast amount of historical big data related to vehicle activities, on which the trust evaluation is based.
- The cloud server acts as a trusted third part to provide fair trustworthiness evaluation. This avoids problems caused by different criteria for the evaluation of vehicle trustworthiness. At the same time, the cloud server can also reduce the calculation and storage overhead of each vehicle terminal.
ADVANTAGES OF PROPOSED SYSTEM:
- A balanced node utilization ratio is defined
- A fair trustworthiness evaluation is proposed
- A method for value re-excavation from knowninformation is presented.
- System : Pentium Dual Core.
- Hard Disk : 120 GB.
- Monitor : 15’’LED
- Input Devices : Keyboard, Mouse
- Ram :1GB
- Operating system : Windows XP/UBUNTU.
- Implementation : NS2
- NS2 Version : 2.28
- Front End : OTCL (Object Oriented Tool Command Language)
- Tool : Cygwin (To simulate in Windows OS)
Jian Shen, Member, IEEE, Chen Wang, Aniello Castiglione, Member, IEEE Dengzhi Liu and Christian Esposito, Member, IEEE, “Trustworthiness Evaluation-based Routing Protocol for Incompletely Predictable Vehicular Ad hoc Networks”, IEEE TRANSACTIONS ON BIG DATA,2017.