A Secure Efficient Data Collection Algorithm Based on Self Adaptive Sensing Model in Mobile Internet of Vehicles
US$53.00
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Vehicular Ad hoc Network (VANET), a subclass of mobile Ad Hoc networks (MANETs), is a promising approach for intelligent transportation system (ITS). These are highly mobile wireless ad hoc networks which uses equipped vehicles as the network nodes. These nodes are moved relative to each other but within the constraints of the road infrastructure. This networks are more helpful in providing road safety and many other commercial applications. In urban VANETs, safety related applications usually operate based on wireless broadcast since warning messages (e.g., accident, blocked street, traffic congestion, etc.) need to be delivered to all nearby related vehicles. In addition, due to the limited transmission range of an On-Board Unit (OBU) in vehicles, multi-hop transmissions of warning messages are usually employed because such kind of alert information is indispensable to assist remote drivers to make early driving decisions. Since vehicular nodes always move fast, routing for WSN data transmission may be easy to lose stability and security. By considering the features of nodes in wireless IoV, such as large scales of deployment, an efficient data collection algorithm is proposed for mobile vehicle network environment. If the channel is empty, it will be the time for real-time data collection. If both the time of vehicles decreases to zero and the channel is empty, receiving and delivering of data packets will be realized the same time. The vehicular sensing node in group can adjust network sensing chain according to sensing distance threshold with surrounding nodes. Simulation results show that the vehicular node can realize secure and real-time data collection.
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