Trustworthiness Evaluation-Based Routing Protocol for Incompletely Predictable Vehicular Ad Hoc Networks
| Autor: | Aniello Castiglione, Christian Esposito, Dengzhi Liu, Chen Wang, Jian Shen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: |
Routing protocol
Dynamic Source Routing Information Systems and Management Computer science Distributed computing Enhanced Interior Gateway Routing Protocol Wireless Routing Protocol 02 engineering and technology Trustworthiness evaluation 0202 electrical engineering electronic engineering information engineering VANETs Zone Routing Protocol business.industry ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS 020206 networking & telecommunications Ad hoc wireless distribution service Self-configured networks Link-state routing protocol Optimized Link State Routing Protocol Incompletely predicable networks 020201 artificial intelligence & image processing business Information Systems Computer network |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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