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MIDDLEWARE
2007
Springer
13 years 11 months ago
A node discovery service for partially mobile sensor networks
Wireless Sensor Networks (WSNs) are challenging types of networks where resources can be scarce. In particular, battery is often a very limited resource and the radio interface is...
Vladimir Dyo, Cecilia Mascolo
REALWSN
2010
13 years 2 months ago
Motes in the Jungle: Lessons Learned from a Short-Term WSN Deployment in the Ecuador Cloud Forest
We study the characteristics of the communication links of a wireless sensor network in a tropical cloud forest in Ecuador, in the context of a wildlife monitoring application. Thi...
Matteo Ceriotti, Matteo Chini, Amy L. Murphy, Gian...
EURONGI
2005
Springer
13 years 10 months ago
An Afterstates Reinforcement Learning Approach to Optimize Admission Control in Mobile Cellular Networks
We deploy a novel Reinforcement Learning optimization technique based on afterstates learning to determine the gain that can be achieved by incorporating movement prediction inform...
José Manuel Giménez-Guzmán, J...
DCOSS
2008
Springer
13 years 6 months ago
Efficient Node Discovery in Mobile Wireless Sensor Networks
Energy is one of the most crucial aspects in real deployments of mobile sensor networks. As a result of scarce resources, the duration of most real deployments can be limited to ju...
Vladimir Dyo, Cecilia Mascolo
EWSN
2010
Springer
13 years 8 months ago
An Adaptive Strategy for Energy-Efficient Data Collection in Sparse Wireless Sensor Networks
Sparse wireless sensor networks (WSNs) are being effectively used in several applications, which include transportation, urban safety, environment monitoring, and many others. Sens...
Mario Di Francesco, Kunal Shah, Mohan Kumar, Giuse...