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All Outputs (7)

Towards 5G: A Reinforcement Learning-Based Scheduling Solution for Data Traffic Management (2018)
Journal Article
Comsa, I. S., Zhang, S., Aydin, M. E., Kuonen, P., Lu, Y., Trestian, R., & Ghinea, G. (2018). Towards 5G: A Reinforcement Learning-Based Scheduling Solution for Data Traffic Management. IEEE Transactions on Network and Service Management, 15(4), 1661-1675. https://doi.org/10.1109/TNSM.2018.2863563

© 2004-2012 IEEE. Dominated by delay-sensitive and massive data applications, radio resource management in 5G access networks is expected to satisfy very stringent delay and packet loss requirements. In this context, the packet scheduler plays a cent... Read More about Towards 5G: A Reinforcement Learning-Based Scheduling Solution for Data Traffic Management.

Managing Congestion in Vehicular Networks Using Tabu Search (2018)
Journal Article
Ishaq, M., Malik, M. H., & Aydin, M. E. (2018). Managing Congestion in Vehicular Networks Using Tabu Search. Communications in Computer and Information Science, 893, 118-129. https://doi.org/10.1007/978-3-319-98204-5_10

© 2018, Springer Nature Switzerland AG. In this era of communication, exponentially growing networks bring a lot of challenges to address for smoother network functionalities. Among them is efficiency in handling packet traffic to avoid and control c... Read More about Managing Congestion in Vehicular Networks Using Tabu Search.

An adaptive opportunistic routing scheme for reliable data delivery in WSNs (2018)
Conference Proceeding
Hasnain, M., Malik, M. H., & Aydin, M. E. (2018). An adaptive opportunistic routing scheme for reliable data delivery in WSNs. In A. Abuarqoub, M. Hammudah, & S. Murad (Eds.), Proceedings of the 2nd International Conference on Future Networks and Distributed Systems - ICFNDS '18 (1-7). https://doi.org/10.1145/3231053.3231085

© 2018 ACM. With the emergence of miniature technologies such as sensor nodes powered with limited batteries, many applications came into existence such as detection of mine reconnaissance, pollution monitoring, data gathering from remote locations,... Read More about An adaptive opportunistic routing scheme for reliable data delivery in WSNs.

Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques (2018)
Journal Article
Uygun, Ö., Güven, İ., Şimşir, F., & Aydin, M. E. (2018). Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques. Communications in Computer and Information Science, 893, 181-193. https://doi.org/10.1007/978-3-319-98204-5_15

© 2018, Springer Nature Switzerland AG. Efficient marketing in which the right products are supplied to the right consumer plays a crucial role for a profitable business in the age of highly accessible and competitive global market. This fact enforce... Read More about Selecting Display Products for Furniture Stores Using Fuzzy Multi-criteria Decision Making Techniques.

Diversifying search in bee algorithms for numerical optimisation (2018)
Journal Article
Düg̃enci, M., & Aydin, M. E. (2018). Diversifying search in bee algorithms for numerical optimisation. Lecture Notes in Artificial Intelligence, 11056 LNAI, 132-144. https://doi.org/10.1007/978-3-319-98446-9_13

© Springer Nature Switzerland AG 2018. Swarm intelligence offers useful instruments for developing collective behaviours to solve complex, ill-structured and large-scale problems. Efficiency in collective behaviours depends on how to harmonise the in... Read More about Diversifying search in bee algorithms for numerical optimisation.

Building collaboration in multi-agent systems using reinforcement learning (2018)
Journal Article
Aydin, M. E., & Fellows, R. (2018). Building collaboration in multi-agent systems using reinforcement learning. Lecture Notes in Artificial Intelligence, 11056 LNAI, 201-212. https://doi.org/10.1007/978-3-319-98446-9_19

© Springer Nature Switzerland AG 2018. This paper presents a proof-of concept study for demonstrating the viability of building collaboration among multiple agents through standard Q learning algorithm embedded in particle swarm optimisation. Collabo... Read More about Building collaboration in multi-agent systems using reinforcement learning.