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ATAL
2007
Springer
15 years 10 months ago
Multiagent reinforcement learning and self-organization in a network of agents
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
Sherief Abdallah, Victor R. Lesser
CORR
2010
Springer
185views Education» more  CORR 2010»
15 years 4 months ago
Acdmcp: An adaptive and completely distributed multi-hop clustering protocol for wireless sensor networks
Clustering is a very popular network structuring technique which mainly addresses the issue of scalability in large scale Wireless Sensor Networks. Additionally, it has been shown...
Khalid Nawaz, Alejandro P. Buchmann
ICASSP
2009
IEEE
15 years 8 months ago
Optimized opportunistic multicast scheduling (OMS) over heterogeneous cellular networks
Optimized opportunistic multicast scheduling (OMS) has been studied previously by the authors for homogeneous cellular networks, where the problem of efficiently transmitting a co...
Tze-Ping Low, Man-On Pun, Yao-Win Peter Hong, C.-C...
DEBU
2002
100views more  DEBU 2002»
15 years 4 months ago
Indexing the Trajectories of Moving Objects
The domain of spatiotemporal applications is a treasure trove of new types of data and queries. In this work, the focus is on a spatiotemporal sub-domain, namely the trajectories ...
Dieter Pfoser
SODA
1996
ACM
157views Algorithms» more  SODA 1996»
15 years 5 months ago
Routing and Admission Control in General Topology Networks with Poisson Arrivals
Emerging high speed networks will carry tra c for services such as video-on-demand and video teleconferencing that require resource reservation along the path on which the tra c i...
Anil Kamath, Omri Palmon, Serge A. Plotkin