Decentralized Evaluation of Trust in Ad Hoc Networks using Neural Networks
Authors
Year
2022
Published
2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). USA: IEEE Computer Society, 2022. p. 30-35. ISSN 2160-4894. ISBN 978-1-6654-6975-3.
Type
Proceedings paper
Departments
Annotation
Trust is an essential concept in ad hoc network security. Creating and maintaining trusted relationships between nodes is a challenging task. This paper proposes a decentralized method for evaluating trust in ad hoc networks. The method uses neural networks and local information to predict the trust of neighboring nodes. The method was compared with the original centralized version, showing that even without global information knowledge, the method has, on average, 97% accuracy in classification and 94% in regression problem. An important contribution of this paper is overcoming the main limitation of the original method, which is the centralized evaluation of trust. Moreover, the decentralized method output is a perfect fit to use as an input to enhance routing in ad hoc networks.
Optimization of Distributed Phase Shift Beamforming Configuration by using Convex Hull
Authors
Kubr, J.; Černý, V.; Moucha, A.
Year
2020
Published
2020 10th International Conference on Advanced Computer Information Technologies, ACIT 2020 - Proceedings. IEEE Xplore, 2020. p. 273-277. vol. 10. ISBN 978-1-7281-6760-2.
Type
Proceedings paper
Departments
Annotation
This article deals with a problem of disconnected wireless sensor networks. Our team investigates a usage of distributed or collaborative beamforming for creation of new long-distance connections between loose network clusters. We focus on decreasing the complexity of searching for network modules which are suitable for creation of inter-cluster connection using distributed/collaborative beamforming techniques.
Distributed phase-shift beamforming power balancing in ad-hoc and sensor networks
Authors
Year
2014
Published
Telecommunication Systems. 2014, 57(4), 367-377. ISSN 1018-4864.
Type
Article
Departments
Annotation
Ad-hoc and sensor networks are a well-studied area which gained a lot of attention in the research in the last decades. Two of the problems of battery-powered radio devices are limited transmitter power and finite amount of energy. This paper continues the path opened by the development of a new technology for radio communication which allows cluster communication beyond the horizon of each individual transmitter and the distribution of power need among the modules forming a cluster. This in terms decreases the average power need per device and contributes to a longer lifetime of the entire network.
Interference Cancellation by the Usage of Distributed Phase Shift Beamforming
Authors
Černý, V.; Moucha, A.; Kubr, J.
Year
2014
Published
2014 Eighth International Conference on Next Generation Mobile Applications, Services and Technologies. Los Alamitos: Conference publishing Services, 2014. p. 248-253. ISBN 978-1-4799-5073-7.
Type
Proceedings paper
Departments
Annotation
There are many ways to deal with interference in wireless networks: topology control, scheduling, channel surfing, etc. All try to prevent interference from taking place (by allocating transmissions to different frequencies, to different time slots, etc). The novelty of the proposed approach in this paper is inspired from the way today headphones use noise cancellation – our approach is to use adjacent modules to one transmitter to cancel the signals of that transmitter to desired areas and thus to decrease interference in the network.
Optimal algorithm for phase shift searching for the DPSBF
Authors
Černý, V.; Moucha, A.; Kubr, J.
Year
2014
Published
Proceedings of the 2nd Prague Embedded Systems Workshop. 2014. p. 17-21.
Type
Proceedings paper
Departments
Annotation
The distributed phase shift beamforming is the great technique for spatial signal filtering in wireless networks. We already showed that this technique can be exploited for the interference reduction in wireless networks. This paper deals with optimal phase shift search for this method.