@article {AitOualhaj2015126,
	title = {A ferry-assisted solution for forwarding function in Wireless Sensor Networks},
	journal = {Pervasive and Mobile Computing},
	volume = {22},
	year = {2015},
	note = {cited By 2},
	pages = {126-135},
	abstract = {For sure, Wireless Sensor Networks (WSNs) are becoming an ultimate part of next generation mobile networks. They are a master piece for Ubiquitous computing. Indeed, they sustain development of numerous paradigms/ technologies such as distributed ambient intelligence, context-awareness and future mobile networking (e.g., B4G and 5G). Battery life remains one of the crucial problems to handle. In this article we propose an infrastructure-based topology using mobile ferries (mobile micro-base stations). In real life, a ferry could be robot, bus, tram, train or any other engine scrutinizing periodically a given area. Yet, message ferries are moving along concentric annulus and may collect data generated by the static sensors (could be classic sensors, smart meters, wearable devices, etc.) randomly distributed on given area. Next, transmissions are performed in a ferry-to-ferry forwarding scheme till arriving at the sink. Considered ferries could sense themselves data and therefore behave as mobile sensors allowing better awareness on the area state [1-3]. Our scheme could also assist Machine-to-Machine communications to increase the network lifetime, with potentially some cognitive-radio capabilities and opportunistic detection and access. Our proposal can easily be integrated in a smart-city for better interaction and green communications. Next, we present a queueing model (queues with finite capacity) to handle the generated traffic and to analyze the behavior of mobile ferries. We provided a close-form expression for both end-to-end throughput and end-to-end delay. The main objective of this work is to improve the energy efficiency of the cognitive sensors by asking cognitive sensors to not care about forwarding data of each other except for urgent data, this latter point is out of the scope of the paper. These static sensors will only care about data sensing, which will reduce their individual energy consumption. {\textcopyright} 2015 Elsevier B.V.},
	doi = {10.1016/j.pmcj.2015.05.003},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84941024588\&doi=10.1016\%2fj.pmcj.2015.05.003\&partnerID=40\&md5=83a85e8d64da3c3ac9458a4eba519a14},
	author = {Ait Oualhaj, O.a and Kobbane, A.b and Sabir, E.c and Ben-Othman, J.d and Erradi, M.a}
}
@conference {Bennasar2015,
	title = {State-of-The-Art of cloud computing cyber-security},
	booktitle = {Proceedings of 2015 IEEE World Conference on Complex Systems, WCCS 2015},
	year = {2015},
	note = {cited By 0},
	abstract = {During the last few years, there has been a rapid and an increasing development and adoption of cloud computing systems, technologies, applications and services. This is owing mainly to many benefits this technology offers for businesses and organizations. However, Cyber-security is considered among the most important issues and concerns for widespread adoption of cloud computing. Among the major issues related with Cloud Computing security we can mention data security, intrusions attacks, confidentiality and data integrity. This paper is dedicated to an overview study of the state of the art of cloud computing cyber-security. With the main objective to identify the main challenges and issues in this field, the different approaches and solutions proposed to address them and the open problems that need to be addressed. {\textcopyright} 2015 IEEE.},
	doi = {10.1109/ICoCS.2015.7483283},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978370423\&doi=10.1109\%2fICoCS.2015.7483283\&partnerID=40\&md5=ed4ec91d44f7a0c8d8539a8666bf48f0},
	author = {Bennasar, H.a and Essaaidi, M.b and Bendahmane, A.c and Ben-Othman, J.d}
}
@conference {Elmachkour20145372,
	title = {Green opportunistic access for cognitive radio networks: A minority game approach},
	booktitle = {2014 IEEE International Conference on Communications, ICC 2014},
	year = {2014},
	note = {cited By 6},
	pages = {5372-5377},
	abstract = {We investigate energy conservation and system performance of decentralized resource allocation scheme in cognitive radio networks thoroughly based on secondary users competitive behavior. Indeed, the contention on data channel unoccupied by licensed user leads to a single winner, but also involves a loss of energy of all nodes. In this paper, we apply minority game (MG) to the most important phase from the opportunistic spectrum access (OSA) process: the sensing phase. We attempt to carry out a cooperation in a non-cooperative environment with no information exchange. We study the Nash equilibrium solution for pure and fully mixed strategies, and we use distributed learning algorithms enabling cognitive users to learn the Nash equilibrium. Finally, we provide numerical results to validate the proposed approach. The resource allocation based on minority game approach improves secondary users battery life and the performance of the network. {\textcopyright} 2014 IEEE.},
	doi = {10.1109/ICC.2014.6884175},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84907000432\&doi=10.1109\%2fICC.2014.6884175\&partnerID=40\&md5=13fd149d57c8c1d76ace2aecdcd1d08a},
	author = {Elmachkour, M.a and Daha, I.b and Sabir, E.c and Kobbane, A.a d and Ben-Othman, J.d}
}
