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» p-Percent Coverage Schedule in Wireless Sensor Networks
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MASS
2010
143views Communications» more  MASS 2010»
14 years 11 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
VTC
2008
IEEE
141views Communications» more  VTC 2008»
15 years 8 months ago
Address Assignment and Routing Schemes for ZigBee-Based Long-Thin Wireless Sensor Networks
Abstract—Wireless sensor networks (WSNs) have been extensively researched recently. This paper makes two contributions to this field. First, we promote a new concept of long-thi...
Meng-Shiuan Pan, Hua-Wei Fang, Yung-Chih Liu, Yu-C...
ICC
2007
IEEE
153views Communications» more  ICC 2007»
15 years 8 months ago
Interplay Between Routing and Distributed Source Coding in Wireless Sensor Network
—Recent Advances in Distributed Source Coding (DSC) for mission-driven Wireless Sensor Networks (WSN) are related to the coding for multiple correlated sensors in applications su...
Honggang Wang, Dongming Peng, Wei Wang 0015, Hamid...
COMSNETS
2012
205views more  COMSNETS 2012»
13 years 9 months ago
RODEO: Robust and rapidly deployable TDM mesh with QoS differentiation
Abstract—We present RODEO, a RObust and rapidly DEplOyable wireless mesh network designed for applications such as disaster management. Natural disasters often destroy existing c...
Aniesh Chawla, Vinay Yadav, Vasu Dev Sharma, Jitin...
JIPS
2006
126views more  JIPS 2006»
15 years 1 months ago
TASL: A Traffic-Adapted Sleep/Listening MAC Protocol for Wireless Sensor Network
In this paper, we proposed a MAC protocol, which can dynamically adjust Listening/Sleeping time rate of wireless sensor nodes according to data traffic load. In sensor networks, se...
Yuan Yang, Zhen Fu, Tae-Seok Lee, Myong-Soon Park