@conference{Avdullahi2017,

title = {QoS supportive MAC Protocols for WSNs: Review and Evaluation},

author = { A. Avdullahi and T. Lagkas and P. Sarigiannidis},

url = {https://www.researchgate.net/publication/320116483_QoS_Supportive_MAC_Protocols_for_WSNs_Review_and_Evaluation},

doi = {10.1145/3136273.3136282},

year  = {2017},

date = {2017-01-01},

journal = {ACM International Conference Proceeding Series},

volume = {Part F130953},

abstract = {The use of wireless sensor networks technology is growing in different applications of monitoring. Since it is a relatively new technology, the interest of researchers to improve the network performance and behaviour has been enormous. In this context, new resource allocation scheme that takes into account traffic priority and load has been introduced. The evaluation of this scheme is intended to be achieved by implementing a custom simulator. This report discusses and evaluates all the important concerns needed to be considered during the development of this project. Moreover, this work also reviews the related literature in order to afford optimisations to the scheme. © 2017 Association for Computing Machinery.},

keywords = {MAC, Resource Allocation., Sensors, Wireless Sensor Networks (WSN)},

pubstate = {published},

tppubtype = {conference}

}

@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}

}

@conference{Lagkas2011185,

title = {Load dependent resource allocation in cooperative multiservice wireless networks: Throughput and delay analysis},

author = { T. Lagkas and D.G. Stratogiannis and G.I. Tsiropoulos and P. Sarigiannidis and M. Louta},

url = {https://www.researchgate.net/publication/221505003_Load_dependent_resource_allocation_in_cooperative_multiservice_wireless_networks_Throughput_and_delay_analysis},

doi = {10.1109/ISCC.2011.5983838},

year  = {2011},

date = {2011-01-01},

journal = {Proceedings - IEEE Symposium on Computers and Communications},

pages = {185-190},

abstract = {Cooperative wireless networks supporting multiple services necessitate the application of a robust bandwidth allocation policy to ensure Quality of Service (QoS) provision to different applications. In this work, a load dependent bandwidth allocation technique is presented considering traffic priority and buffer load in the relay nodes of a cooperative communication network. An analytical approach for bandwidth sharing is provided along with a delay analysis, verifying that the proposed scheme can efficiently provide traffic differentiation, satisfying, also, the QoS requirements in terms of bandwidth, packet transmission rate and delay. The results obtained by the analysis are validated via simulations, confirming the improved network performance in terms of throughput and delay. © 2011 IEEE.},

keywords = {Buffer load, Cooperative wireless network, delay, MAC, QoS, Simulation},

pubstate = {published},

tppubtype = {conference}

}