A Vehicle Message Scheduling Scheme For Vehicle Trust Management

The trustworthiness of vehicle messages is a major focus in intelligent transportation research. Existing studies focus on enhancing the accuracy of vehicle trustworthiness evaluation, overlooking that the transmission performance may affect the quality of vehicle messages, which are essential for implementing trustworthiness evaluation. This paper studies a novel vehicle message scheduling scheme to regulate vehicles’ transmissions so that incident messages for any part of the road can be reliably and accurately sent to a roadside unit. Through strategically scheduling vehicle transmissions to avoid interference between vehicles while guaranteeing sufficient numbers of vehicles transmitting their sensor data, vehicle messages can reliably yet timely arrive at Road Side Units (RSUs) without missing reporting an event on the road

Handschrift von Johann Gotthart von Böckel / Boeckellen

International audienc

Biophotonik: Einblicke in die Zelle

International audienc

An Efficient Metric for Physical-layer Jammer Detection in Internet of Things Networks

An active jammer could severely degrade the communication quality for wireless networks. Since all wireless nodes openly access the shared media, the harsh effects are exaggerated by retransmission attempts of affected devices. Fast and precise detection of the jammer is of vital importance for heterogeneous wireless environments such as the Internet of things (IoT). It could activate a series of corrective countermeasures to ensure the robust operation of the network. In this paper, we propose a local, straightforward, and numerical metric called the number of jammed slots (NJS), by which we can quickly detect the presence of a jammer and identify the jammed nodes at the software level in broadcast networks. NJS calculation is carried out by a central node which collects the MAC-layer statuses of all wireless nodes in a periodical fashion. Our simulation results indicate that NJS outperforms current detection methods in terms of accuracy and precision

Gestion intelligente de qualité de service dans les réseaux ad hoc mobiles sans fil

The fast technological progress and innovations of the past years have taken wireless communication from concept to reality. Indeed, wireless networks are now very well operating with tremendous advantages. There is no more need for expensive infrastructure to communicate efficiently. With ad hoc networks technology, mobile devices are free to move and communicate wirelessly with one another. Many important and sometimes vital applications are supported by this technology; disaster-and-relief operations, emergency rescue, law enforcement, and military battlefields are just few of them. However, one of the most challenging problems in ad hoc networks research is to ensure good quality voice and video multimedia services. These kinds of services need specific requirements to be satisfied in terms of bandwidth, end-to-end delay, jitter, etc., and this is very difficult to achieve in ad hoc networks, because of the topology dynamics and the scarcity of resources that characterize them. The objective of this thesis is to investigate new approaches towards achieving good quality of service in wireless ad hoc networks. With the aim of obtaining more adaptive and flexible models, we propose a set of intelligent solutions based on neural networks and fuzzy logic techniques. These artificial intelligence tools have proved their benefits and efficiency in both academia and industry. The simulations we realized show that the proposed quality of service approaches promise to be efficient and reliable solutions for supporting both real-time services and non real-time applications. The obtained results illustrate that the intelligent-based techniques can raise successfully the challenge of quality of service satisfaction in wireless ad hoc networks

Gestion intelligente de qualité de service dans les réseaux ad hoc mobiles sans fil

The fast technological progress and innovations of the past years have taken wireless communication from concept to reality. Indeed, wireless networks are now very well operating with tremendous advantages. There is no more need for expensive infrastructure to communicate efficiently. With ad hoc networks technology, mobile devices are free to move and communicate wirelessly with one another. Many important and sometimes vital applications are supported by this technology; disaster-and-relief operations, emergency rescue, law enforcement, and military battlefields are just few of them. However, one of the most challenging problems in ad hoc networks research is to ensure good quality voice and video multimedia services. These kinds of services need specific requirements to be satisfied in terms of bandwidth, end-to-end delay, jitter, etc., and this is very difficult to achieve in ad hoc networks, because of the topology dynamics and the scarcity of resources that characterize them. The objective of this thesis is to investigate new approaches towards achieving good quality of service in wireless ad hoc networks. With the aim of obtaining more adaptive and flexible models, we propose a set of intelligent solutions based on neural networks and fuzzy logic techniques. These artificial intelligence tools have proved their benefits and efficiency in both academia and industry. The simulations we realized show that the proposed quality of service approaches promise to be efficient and reliable solutions for supporting both real-time services and non real-time applications. The obtained results illustrate that the intelligent-based techniques can raise successfully the challenge of quality of service satisfaction in wireless ad hoc networks

Toward Neural Networks Solution for Multimedia Support in Mobile Ad hoc Networks

International audienc

Intelligent QoS management for multimedia services support in wireless mobile ad hoc networks

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