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VTC
2007
IEEE
190views Communications» more  VTC 2007»
14 years 1 months ago
An Adaptive Location Estimator Based on Kalman Filtering for Wireless Sensor Networks
—In this paper, we present a positioning and tracking scheme based on adaptive weighted interpolation and Kalman filtering for wireless sensor networks. The proposed positioning ...
Chin-Liang Wang, Yih-Shyh Chiou, Yu-Sheng Dai
ICC
2009
IEEE
133views Communications» more  ICC 2009»
14 years 2 months ago
Reducing Average Power in Wireless Sensor Networks through Data Rate Adaptation
—The use of variable data rate can reduce network latency and average power consumption, and automatic rate selection is critical for improving scalability and minimizing network...
Steven Lanzisera, Ankur Mehta, Kristofer S. J. Pis...
AINA
2007
IEEE
14 years 2 months ago
Collaborative Signal Reinforcement in Sensor Networks
Nodes in sensor fields and in autonomous swarms of mobile robots need to communicate; this usually requires individual nodes to either consume a significant amount of energy, ca...
Tingting Meng, Peter M. Athanas
MOBIHOC
2009
ACM
14 years 8 months ago
Energy-efficient capture of stochastic events by global- and local-periodic network coverage
We consider a high density of sensors randomly placed in a geographical area for event monitoring. The monitoring regions of the sensors may have significant overlap, and a subset...
Shibo He, Jiming Chen, David K. Y. Yau, Huanyu Sha...
ADHOC
2011
13 years 2 months ago
Evaluation and design of beaconing in mobile wireless networks
One of the intrinsic problems of mobility in wireless networks is the discovery of mobile nodes. A widely used solution for this problem is to use different variations of beacons, ...
Abbas Nayebi, Gunnar Karlsson, Hamid Sarbazi-Azad