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» Energy-balancing strategies for wireless sensor networks
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MASS
2010
143views Communications» more  MASS 2010»
14 years 7 months ago
Know your neighborhood: A strategy for energy-efficient communication
Wireless sensor networks typically conserve energy by following a periodic wakeup-sleep schedule: nodes minimize idle time and spend most of their time in a low power sleep state. ...
Farhana Ashraf, Riccardo Crepaldi, Robin Kravets
CONEXT
2005
ACM
14 years 11 months ago
Positioning mobile base station to prolong wireless sensor network lifetime
Energy efficiency is a critical issue in designing sensor networks, as the nodes have limited battery power. In this paper we propose to move the BS so as to prolong the network l...
Dorottya Vass, Attila Vidács
TSP
2010
14 years 4 months ago
Decentralized sparse signal recovery for compressive sleeping wireless sensor networks
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
Qing Ling, Zhi Tian
WAC
2005
Springer
156views Communications» more  WAC 2005»
15 years 3 months ago
Adaptive Scheduling in Wireless Sensor Networks
Abstract. As the number of Wireless Sensor Networks (WSNs) applications is anticipated to grow substantially in coming years, new and radical strategies for effectively managing s...
Antonio G. Ruzzelli, Michael J. O'Grady, Gregory M...
MIDDLEWARE
2007
Springer
15 years 3 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