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ADHOCNETS
2010
Springer
13 years 5 months ago
DCLA: A Duty-Cycle Learning Algorithm for IEEE 802.15.4 Beacon-Enabled WSNs
The current specification for IEEE 802.15.4 beacon-enabled networks does not define how active and sleep schedules should be configured in order to achieve the optimal network perf...
Rodolfo de Paz Alberola, Dirk Pesch
GLOBECOM
2008
IEEE
14 years 3 months ago
A Low-Signalling Scheme for Distributed Resource Allocation in Multi-Cellular OFDMA Systems
—This paper considers distributed protocol design for joint sub-carrier, transmission scheduling and power management in uplink/downlink multi-cellular OFDMA wireless networks. T...
Pablo Soldati, Mikael Johansson
MOBIHOC
2006
ACM
14 years 8 months ago
Algorithmic aspects of communication in ad-hoc networks with smart antennas
Smart antennas have gained significant importance in multihop wireless networks in recent years, because of their sophisticated signal processing capabilities that hold the potent...
Karthikeyan Sundaresan, Weizhao Wang, Stephan Eide...
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 8 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
ASPLOS
2004
ACM
14 years 2 months ago
An ultra low-power processor for sensor networks
We present a novel processor architecture designed specifically for use in low-power wireless sensor-network nodes. Our sensor network asynchronous processor (SNAP/LE) is based on...
Virantha N. Ekanayake, Clinton Kelly IV, Rajit Man...