@conference {Boudagdigue2018,
	title = {A Distributed Advanced Analytical Trust Model for IoT},
	booktitle = {IEEE International Conference on Communications},
	volume = {2018-May},
	year = {2018},
	doi = {10.1109/ICC.2018.8422726},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85051430306\&doi=10.1109\%2fICC.2018.8422726\&partnerID=40\&md5=8907401b5d112341154ed5ed64157168},
	author = {Boudagdigue, C. and Benslimane, A. and Kobbane, A. and Elmachkour, M.}
}
@conference {Harbouche2017,
	title = {Dynamic coalitional matching game approach for fair and swift data-gathering in wireless body sensor networks},
	booktitle = {Proceedings - 2017 International Conference on Wireless Networks and Mobile Communications, WINCOM 2017},
	year = {2017},
	note = {cited By 0},
	abstract = {Wireless Sensor Networks are deployed in different fields of application to gather data on the monitored environment. The Wireless Body Sensor Network (WBSN) is a wireless sensor network designed to monitor a human body vital and environment parameters. The design and development of such WBSN systems for health monitoring have been motivated by costly healthcare and propelled by the development of miniature health monitoring devices. This paper presents the architecture design of a preventive health care monitoring system. This architecture is designed for monitoring multiple patients in a hospital. It is based on a set of mobile data collectors and static sensors for analysis of various patient{\textquoteright}s parameters. The data collectors need to cooperate together in order to gather the data from the sensor nodes. The point of this paper is how to dynamically and effectively appoint and deploy several data collectors in the hospital to gather the measured data in minimal time. We formulate the problem as a coalitional matching game between patients and data collectors, and we propose a patientdata collector association algorithm that ensures fairness and minimum total course in the stable matchings. {\textcopyright} 2017 IEEE.},
	doi = {10.1109/WINCOM.2017.8238179},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85041451720\&doi=10.1109\%2fWINCOM.2017.8238179\&partnerID=40\&md5=44ef24b18e66b8fb24573d73db99025f},
	author = {Harbouche, A. and Elmachkour, M. and Djedi, N. and Erradi, M. and Kobbane, A.}
}
