@conference { ISI:000312855700097,
	title = {Dynamic Power Control with Energy Constraint for Multimedia Wireless Sensor Networks},
	booktitle = {2012 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)},
	series = {IEEE International Conference on Communications},
	year = {2012},
	note = {IEEE International Conference on Communications (ICC), Ottawa, CANADA, JUN 10-15, 2012},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {In recent years, many approaches and techniques have been explored for the optimization of energy usage in Wireless Sensor Networks (WSN). It is well recognized that a proper energy consumption model is the foundation for developing and evaluating a power management scheme in WSN. In this paper, we propose a new complete information Markov Decision Process (MDP) model to characterize sensors energy levels. We also propose and compare several centralized power control policies to select the more efficient policy that optimizes throughput and energy consumption.},
	isbn = {978-1-4577-2053-6},
	issn = {1550-3607},
	author = {Kobbane, A. and Koulali, M. -A. and Tembine, H. and El Koutbi, M. and Ben-Othman, J.}
}
@conference { ISI:000322375100023,
	title = {Optimal Distributed Relay Selection for Duty-Cycling Wireless Sensor Networks},
	booktitle = {2012 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)},
	series = {IEEE Global Communications Conference},
	year = {2012},
	note = {IEEE Global Communications Conference (GLOBECOM), Anaheim, CA, DEC 03-07, 2012},
	pages = {145-150},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Recent advances in localization technologies and algorithms for Wireless Sensor Networks (WSN) motivate the exploitation of location information in routing protocols. In this paper we consider the geographic forwarding of sporadically generated alarm messages. Our objective is to optimize sensor{\textquoteright}s energy consumption while respecting QoS constraints on transmission delay. For instance, we propose an optimal distributed relay selection policy for WSN with duty-cycling sensors based on a Markov Decision Process (MDP) with complete information. Also, we establish sufficient conditions for optimality of threshold policies. Then, end-to-end performances for a heuristic multi-hop relay selection strategy are established. Finally, we extend our model to account for queuing capabilities at sensor level.},
	isbn = {978-1-4673-0921-9; 978-1-4673-0920-2},
	issn = {2334-0983},
	author = {Koulali, M. -A. and Kobbane, A. and El Koutbi, M. and Ben-Othman, J.}
}
