2016
T.D. Lagkas; A. Lamproudi; P. Sarigiannidis
The effect of group mobility on the efficacy of routing in next generation mobile networks Conference
2016.
Περίληψη | BibTeX | Ετικέτες: AODV, group mobility, MANETs, mobile routing, next generation networks, WMNs | Σύνδεσμοι:
@conference{Lagkas2016,
title = {The effect of group mobility on the efficacy of routing in next generation mobile networks},
author = { T.D. Lagkas and A. Lamproudi and P. Sarigiannidis},
url = {https://www.researchgate.net/publication/304664872_The_effect_of_group_mobility_on_the_efficacy_of_routing_in_next_generation_mobile_networks?_sg=3u9z6RpXPn4TkPO4FsylL25lYsJy-VYd-Ty_whZqNcW-uPlgKOpMzVzGbBaKnyRuymqptI9KqqFy8Bg},
doi = {10.1109/ICT.2016.7500424},
year = {2016},
date = {2016-01-01},
journal = {2016 23rd International Conference on Telecommunications, ICT 2016},
abstract = {A key challenge in next generation mobile networks is ensuring effective routing that efficiently adapts to the special characteristics of the various mobility schemes. The purpose of this paper is to study and illustrate how group mobility affects the network performance of a wireless ad hoc network depending on the type of movement, in a space with or without obstacles. In the scope of this paper, we created a simulator of a MANET that uses AODV routing protocol, while the entities of the network move according to the chosen group mobility model. Despite the fact that the routing protocol supports mobility in general, the results greatly vary depending on the specific mobility scenario. The strong connection between mobility properties and network performance is revealed. © 2016 IEEE.},
keywords = {AODV, group mobility, MANETs, mobile routing, next generation networks, WMNs},
pubstate = {published},
tppubtype = {conference}
}
2015
I. Kakalou; G.I. Papadimitriou; P. Nicopolitidis; P.G. Sarigiannidis; M.S. Obaidat
A Reinforcement learning-based cognitive MAC protocol Conference
vol. 2015-September, 2015.
Περίληψη | BibTeX | Ετικέτες: ad-hoc, Cognitive, MAC, next generation networks, Reinforcement Learning | Σύνδεσμοι:
@conference{Kakalou20155608,
title = {A Reinforcement learning-based cognitive MAC protocol},
author = { I. Kakalou and G.I. Papadimitriou and P. Nicopolitidis and P.G. Sarigiannidis and M.S. Obaidat},
url = {https://www.researchgate.net/publication/308872233_A_Reinforcement_learning-based_cognitive_MAC_protocol},
doi = {10.1109/ICC.2015.7249216},
year = {2015},
date = {2015-01-01},
journal = {IEEE International Conference on Communications},
volume = {2015-September},
pages = {5608-5613},
abstract = {A Multi-Channel Cognitive MAC Protocol for adhoc cognitive networks that uses a distributed learning reinforcement scheme is proposed in this paper. The proposed protocol learns the Primary User (PU) traffic characteristics and then selects the best channel to transmit. The scheme, whichaddresses overlay cognitive networks,avoids collision with the PU nodes and manages toexceed the performance of the less adaptive statistical channel selection schemesin normal and especially bursty traffic environments. The simulation analysis results have shown that the performance of our proposed scheme outperforms that of the CREAM-MAC scheme. © 2015 IEEE.},
keywords = {ad-hoc, Cognitive, MAC, next generation networks, Reinforcement Learning},
pubstate = {published},
tppubtype = {conference}
}
Διεύθυνση
Internet of Things and Applications Lab
Department of Electrical and Computer Engineering
University of Western Macedonia Campus
ZEP Area, Kozani 50100
Greece
Πληροφορίες Επικοινωνίας
tel: +30 2461 056527
Email: ithaca@uowm.gr