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» A low power scheduler using game theory
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IJSNET
2006
145views more  IJSNET 2006»
15 years 16 days ago
RL-MAC: a reinforcement learning based MAC protocol for wireless sensor networks
:This paper introduces RL-MAC, a novel adaptive MediaAccess Control (MAC) protocol for Wireless Sensor Networks (WSN) that employs a reinforcement learning framework. Existing sche...
Zhenzhen Liu, Itamar Elhanany
ATAL
2008
Springer
15 years 2 months ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
ICWN
2007
15 years 2 months ago
Utility-Based Divisible Sensing Task Scheduling in Wireless Sensor Networks
This paper presents a tractable optimization strategies of sensing workload scheduling in wireless sensor networks using Divisible Load Theory (DLT). Because of the limited batter...
Xiaolin Li, Xinxin Liu, Peng Guan, Hui Kang
115
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BIOWIRE
2007
Springer
15 years 6 months ago
Coalition Games and Resource Allocation in Ad-Hoc Networks
In this paper we explore some of the connections between cooperative game theory and the utility maximization framework for routing and flow control in networks. Central to both a...
Richard J. Gibbens, Peter B. Key
JSAC
2008
95views more  JSAC 2008»
15 years 16 days ago
Game Theoretic Modeling of Malicious Users in Collaborative Networks
If a network is to operate successfully, its users need to collaborate. Collaboration takes the form of following a network protocol and involves some resource expenditure on the p...
George Theodorakopoulos, John S. Baras