@conference {Ben-Aboud20201324,
	title = {A research-oriented low-cost air pollution monitoring IoT platform},
	booktitle = {2020 International Wireless Communications and Mobile Computing, IWCMC 2020},
	year = {2020},
	note = {cited By 1},
	pages = {1324-1329},
	abstract = {This paper presents an IoT platform designed for air pollution monitoring. It aiming to facilitate the testing of different data collection strategies, to simplify the air quality monitoring process, to provide the citizens with real-time information about air pollution, to allow citizens to participate in the air quality monitoring process, and to help the authorities identify zones of high air pollution and take the most appropriate measures to improve air quality. The sensor nodes have been developed using low-cost off-the-shelf hardware. Both nomadic and mobile sensor nodes have been developed. A novel sensor management middleware has been designed and developed to have the flexibility to remotely control the operational settings of the sensor nodes and to reduce the volume of transmitted data. Finally, two applications have been developed and implemented for data visualization. The first is a mobile friendly air pollution meter. The second offers a spatial visualization of air pollution levels using a Geographic Information System (GIS). The developed platform has been tested in multiple measurement campaigns. The results of one of these campaigns (conducted in Hay Nahda II, Rabat, Morocco) is presented in this paper to showcase the platform. {\textcopyright} 2020 IEEE.},
	keywords = {Air pollution monitoring, Air quality, Air quality monitoring, Costs, Data collection strategies, Data visualization, Information use, Internet of things, Middleware, Mobile computing, Mobile sensor node, Multiple measurements, Off-the-shelf hardwares, Pollution detection, Real-time information, Sensor nodes, Spatial visualization, Visualization},
	doi = {10.1109/IWCMC48107.2020.9148176},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85089690465\&doi=10.1109\%2fIWCMC48107.2020.9148176\&partnerID=40\&md5=6b9c355d625a664f7d5ac062470cf5f0},
	author = {Ben-Aboud, Y. and Ghogho, M. and Kobbane, A.}
}
@conference {Mourchid2017,
	title = {Random walk based co-occurrence prediction in location-based social networks},
	booktitle = {IEEE International Conference on Communications},
	year = {2017},
	note = {cited By 0},
	abstract = {In this paper, we propose a new version of the LBRW (Learning based Random Walk), LBRW-Co, for predicting users co-occurrence based on mobility homophily and social links. More precisely, we analyze and mine jointly spatio-temporal and social features with the aim to predict and rank users co-occurrences. Experiments are performed on the Foursquare LBSN with accurate and refined measurements. Experimental results demonstrate that our LBRW-Co model have substantial advantages over baseline approaches in predicting and ranking co-occurrence interactions. {\textcopyright} 2017 IEEE.},
	doi = {10.1109/ICC.2017.7997209},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85028326862\&doi=10.1109\%2fICC.2017.7997209\&partnerID=40\&md5=f865adbae7afd91e045cf307bb52ae7f},
	author = {Mourchid, F. and Kobbane, A. and Ben Othman, J. and El Koutbi, M.}
}
@conference {Tembine2010,
	title = {Robust power allocation games under channel uncertainty and time delays},
	booktitle = {2010 IFIP Wireless Days, WD 2010},
	year = {2010},
	note = {cited By 0},
	doi = {10.1109/WD.2010.5657740},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-78751549432\&doi=10.1109\%2fWD.2010.5657740\&partnerID=40\&md5=d221e9e9441f6d59228be21fe99203da},
	author = {Tembine, H. and Kobbane, A. and El Koutbi, M.}
}
