@article {Sahnoun201826,
	title = {A coalition-formation game model for energy-efficient routing in mobile Ad-hoc network},
	journal = {International Journal of Electrical and Computer Engineering},
	volume = {8},
	number = {1},
	year = {2018},
	pages = {26-33},
	doi = {10.11591/ijece.v8i1.pp26-33},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042920602\&doi=10.11591\%2fijece.v8i1.pp26-33\&partnerID=40\&md5=b4b2c8c95ff6ea605c6d376020831a06},
	author = {Sahnoun, A. and Habbani, A. and El Abbadi, J.}
}
@article {Sahnoun201826,
	title = {A coalition-formation game model for energy-efficient routing in mobile Ad-hoc network},
	journal = {International Journal of Electrical and Computer Engineering},
	volume = {8},
	number = {1},
	year = {2018},
	note = {cited By 0},
	pages = {26-33},
	abstract = {One of the most routing problems in Mobile Ad-hoc Network is the node{\textquoteright}s selfishness. Nodes are generally selfish and try to maximize their own benefit; hence these nodes refuse to forward packet on behalf of others to preserve their limited energy resources. This selfishness may lead to a low efficiency of routing. Therefore, it is important to study mechanisms which can be used encourage cooperation among nodes, to maintain the network efficiency. In this paper, we propose a cooperative game theoretic model to support more energy-aware and available bandwidth routing in MANET. We introduce a novel framework from coalitional-formation game theory, called hedonic coalition-formation game. We integrate this model to OLSR protocol that is an optimization over the classical link state protocol for the MANETs. Within each coalition, a coalition coordinator acts as a special MPR node to improve the energy efficient and the packet success rate of the transmission. Simulation results show how the proposed algorithm improve the performance in terms of the percentage of selected MPR nodes in the network, the percentage of alive nodes by time, and the Packet Delivery Ratio. Which prove that our proposed model leads, to better results compared to the classical OLSR. {\textcopyright} 2018 Institute of Advanced Engineering and Science.},
	doi = {10.11591/ijece.v8i1.pp26-33},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85042920602\&doi=10.11591\%2fijece.v8i1.pp26-33\&partnerID=40\&md5=b4b2c8c95ff6ea605c6d376020831a06},
	author = {Sahnoun, A. and Habbani, A. and El Abbadi, J.}
}
