Paper Info
Title
On-Demand Misbehavior Detection For Vehicular Ad Hoc Network
Abstract
Maintaining communication links of an established communication path that extends between source and destination nodes is a significant challenge in Vehicular Ad Hoc Networks due to movement of the vehicles. Operations of Vehicular Ad Hoc Network rely on the collaboration of participating nodes to route data for each other. A critical requirement on the nodes is to cooperate with each other for successful data transmission. Thus, the impact of malicious and selfish users must be detected to ensure the operations of Vehicular Ad Hoc Network. In this article, we proposed On-demand Misbehavior Detection technique for vehicle-to-vehicle communication. We adapt two location-based routing protocols, Contention-Based Forwarding and Connectionless Approach for Streets, to our On-demand Misbehavior Detection. Various experiments are conducted to show the effectiveness and efficiency of the proposed On-demand Misbehavior Detection technique. The simulation and analytical results showed that the proposed technique is very effective in detecting misbehaving nodes.
Year
DOI
Venue
2016
10.1177/1550147716673928
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
Keywords
Field
DocType
Vehicular Ad Hoc Networks, routing protocols, misbehavior detection
Mobile ad hoc network,On demand,Computer science,Computer network,Ad hoc wireless distribution service,Optimized Link State Routing Protocol,Wireless ad hoc network,Vehicular ad hoc network,Distributed computing,Routing protocol
Journal
Volume
Issue
ISSN
12
10
1550-1477
Citations 
PageRank 
References 
0
0.34
7
Authors
3
Name
Order
Citations
PageRank
Yao Hua Ho18413.79
Chun-Han Lin29610.86
Ling-Jyh Chen375978.81