Fractional Hedonic Coalition Formation Game for Peer to Peer Energy Trading in a Microgrid

Author(s):  
Sweta Malik ◽  
Maeve Duffy ◽  
Subhasis Thakur ◽  
John G. Breslin
Author(s):  
Wayes Tushar ◽  
Wayes Tushara ◽  
Tapan Saha ◽  
Chau Yuen ◽  
M. Azim ◽  
...  

2020 ◽  
Vol 261 ◽  
pp. 114436 ◽  
Author(s):  
Wayes Tushar ◽  
Tapan Kumar Saha ◽  
Chau Yuen ◽  
M. Imran Azim ◽  
Thomas Morstyn ◽  
...  

Author(s):  
Abdelkabir Sahnoun ◽  
Ahmed Habbani ◽  
Jamal El Abbadi

One of the most routing problems in Mobile Ad-hoc Network is the node’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.


2001 ◽  
Vol 18 (1) ◽  
pp. 135-153 ◽  
Author(s):  
Suryapratim Banerjee ◽  
Hideo Konishi ◽  
Tayfun Sönmez

Author(s):  
Lang Ruan ◽  
Jin Chen ◽  
Qiuju Guo ◽  
Han Jiang ◽  
Yuli Zhang ◽  
...  

UAV cooperative control has been an important issue in UAV-assisted sensor network, thanks to the considerable benefit obtained from cooperative mechanism of UAVs being applied as a flying base station. In coverage scenario, the tradeoff between coverage performance and transmission performance often makes deployment of UAVs fall into a dilemma, since both indexes are related to the distance between UAVs. To address this issue, UAV coverage and data transmission mechanism is analyzed in this paper, then an efficient multi-UAV cooperative deployment model is proposed. The problem is also modeled as a coalition formation game (CFG). The CFG with Pareto order is proved to have a stable partition. Then, an effective approach consisting of coverage deployment and coalition selection is designed, wherein UAVs can decide strategies cooperatively to achieve better coverage performance. Combining analysis of game approach, a coalition selection and position deployment algorithm based on Pareto order (CSPDA-PO) is designed to execute coverage deployment and coalition selection. Finally, simulation results are shown to validate the proposed approach based on efficient multi-UAV cooperative deployment model.


2018 ◽  
Vol 67 (6) ◽  
pp. 5188-5202 ◽  
Author(s):  
Jiaqi Cao ◽  
Tao Peng ◽  
Zhiqiang Qi ◽  
Ran Duan ◽  
Yannan Yuan ◽  
...  

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