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Your search keyword '"Tepe, Kemal"' showing total 76 results
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76 results on '"Tepe, Kemal"'

18. Novel Trust Framework for Vehicular Networks.

Author

Ahmed, Saneeha, Al-Rubeaai, Sarab, and Tepe, Kemal

Subjects
MOBILE communication systems, WIRELESS sensor nodes, BAYESIAN analysis, DRIVERLESS cars, ERROR rates
Abstract

Dedicated short range communication is proposed for vehicle to vehicle communications to learn about significant events in the network from neighboring vehicles. However, these neighbors may be malicious and report incorrect events in order to take advantage of the system. The malicious nodes may also provide incorrect recommendations about their peers in order to exert a stronger influence on the receiver's decision. Incorrect information and malicious nodes render the system unreliable for safety and emergency applications. In order to correctly identify the events as well as malicious nodes, a novel trust framework is proposed in this paper that studies all aspects of the trust in connected vehicle (CV) to CV communications. The nodes iteratively learn about the environment from received messages and then update the trust values of their neighbors. Nodes are classified on the basis of their trust values and reported events are also classified as true and false. Nodes advertise their recommendation about trusted and malicious neighbors. The proposed framework allows nodes to identify and filter recommendations from malicious nodes, and to discern true events. The performance of the proposed framework is evaluated experimentally using false and true positive rates, event detection probability and trust computation error. The proposed framework identifies malicious nodes and true events with high probability of more than 0.92 while keeping the trust computation error below 0.03. [ABSTRACT FROM PUBLISHER]

Published
2017
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30. Extending Wireless Sensor Network Lifetime With Global Energy Balance.

Author

Abd, Mehmmood A., Al-Rubeaai, Sarab F. Majed, Singh, Brajendra Kumar, Tepe, Kemal E., and Benlamri, Rachid

Abstract

In this paper, a decentralized routing algorithm, called game theoretic energy balance routing protocol, is proposed to extend the network lifetime by balancing energy consumption in a larger network area using geographical routing protocols. The objective of the proposed protocol is to make sensor nodes deplete their energy at approximately the same time, which is achieved by addressing the load balance problem at both the region and node levels. In the region level, evolutionary game theory (EGT) is used to balance the traffic load to available subregions. At the node level, classical game theory (CGT) is used to select the best node to balance the load in the selected subregion. This two-level approach is shown to be an effective solution for load balancing and extending network lifetime. This paper shows the use of EGT and CGT in designing a robust protocol that offers significant improvement over existing protocols in extending network lifetime. [ABSTRACT FROM PUBLISHER]

Published
2015
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