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IPSN
2004
Springer
15 years 3 months ago
Estimation from lossy sensor data: jump linear modeling and Kalman filtering
Due to constraints in cost, power, and communication, losses often arise in large sensor networks. The sensor can be modeled as an output of a linear stochastic system with random...
Alyson K. Fletcher, Sundeep Rangan, Vivek K. Goyal
ASYNC
1999
IEEE
76views Hardware» more  ASYNC 1999»
15 years 2 months ago
Real-Time Merging
We describe an extension of the virtual volume concept to multiple sensors. Data from multiple sensors are combined in real-time and mapped into a constantly updating three-dimens...
Mark R. Greenstreet
EMNETS
2007
15 years 1 months ago
SeeDTV: deployment-time validation for wireless sensor networks
Deployment of a wireless sensor network (WSN) system is a critical step because theoretical models and assumptions often differ from real environmental characteristics and perform...
H. Liu, Leo Selavo, John A. Stankovic
DCOSS
2006
Springer
15 years 1 months ago
Gappa: Gossip Based Multi-channel Reprogramming for Sensor Networks
Abstract. Reprogramming the sensor networks in place is an important and challenging problem. One way suggested for reprogramming is with the help of an UAV (Unmanned Ariel Vehicle...
Limin Wang, Sandeep S. Kulkarni
DMSN
2008
ACM
14 years 11 months ago
Stream-based macro-programming of wireless sensor, actuator network applications with SOSNA
Wireless sensor, actuator networks (WSANs) distinguish themselves from wireless sensor networks by the need to coordinate actuators' actions, real-time constraints on communi...
Marcin Karpinski, Vinny Cahill