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- ArticleSeptember 2020
Network Cooperation with Progressive Disambiguation for Partial Label Learning
Machine Learning and Knowledge Discovery in DatabasesPages 471–488https://doi.org/10.1007/978-3-030-67661-2_28AbstractPartial Label Learning (PLL) aims to train a classifier when each training instance is associated with a set of candidate labels, among which only one is correct but is not accessible during the training phase. The common strategy dealing with ...
- research-articleFebruary 2020
A CoMP-Based outage compensation solution for heterogeneous femtocell networks
Computer Networks: The International Journal of Computer and Telecommunications Networking (CNTW), Volume 168, Issue Chttps://doi.org/10.1016/j.comnet.2019.107061AbstractIn wireless cellular networks, self-healing is one of the three functionalities for self-organizing networks, and it has four major components: fault detection, fault diagnosis, fault response and fault recovery. In this paper, we ...
- research-articleDecember 2016
Throughput Performance Evaluation on Wired and Wireless Network Cooperation Quick Recovery System Employing IEEE 802.11 DCF
ICNCC '16: Proceedings of the Fifth International Conference on Network, Communication and ComputingPages 267–271https://doi.org/10.1145/3033288.3033334This paper investigates achievable MAC level throughput performance of wired and wireless network cooperation (NeCo) system, which realizes quick recover civilian telecommunication services in the aftermath of a catastrophic disaster. The proposed NeCo ...
- articleApril 2015
Experimental validation of a reinforcement learning based approach for a service-wise optimisation of heterogeneous wireless sensor networks
Wireless Networks (WIRE), Volume 21, Issue 3Pages 931–948https://doi.org/10.1007/s11276-014-0817-8Due to their constrained nature, wireless sensor networks (WSNs) are often optimised for a specific application domain, for example by designing a custom medium access control protocol. However, when several WSNs are located in close proximity to one ...
- articleJune 2014
A reinforcement learning based solution for cognitive network cooperation between co-located, heterogeneous wireless sensor networks
Ad Hoc Networks (ADHN), Volume 17Pages 98–113https://doi.org/10.1016/j.adhoc.2014.01.009Due to a drastic increase in the number of wireless communication devices, these devices are forced to interfere or interact with each other. This raises the issue of possible effects this coexistence might have on the performance of these networks. ...
- articleMay 2014
Coping with Network Dynamics Using Reinforcement Learning Based Network Optimization in Wireless Sensor Networks
Wireless Personal Communications: An International Journal (WPCO), Volume 76, Issue 2Pages 169–191https://doi.org/10.1007/s11277-014-1684-4Due to the constant increase of in density of wireless network devices, inter-network cooperation is increasingly important. To avoid conflicts, advanced algorithms for inter-network optimization utilize cognition processes such as reinforcement ...
- articleAugust 2012
A negotiation-based networking methodology to enable cooperation across heterogeneous co-located networks
Ad Hoc Networks (ADHN), Volume 10, Issue 6Pages 901–917https://doi.org/10.1016/j.adhoc.2011.11.007In a future internet of things, an increasing number of every-day objects becomes interconnected with each other. Current network solutions are not designed to connect a large number of co-located devices with different characteristics and network ...
