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» Implementing the TEA algorithm on sensors
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SENSYS
2003
ACM
15 years 7 months ago
CODA: congestion detection and avoidance in sensor networks
Event-driven sensor networks operate under an idle or light load and then suddenly become active in response to a detected or monitored event. The transport of event impulses is l...
Chieh-Yih Wan, Shane B. Eisenman, Andrew T. Campbe...
SENSYS
2009
ACM
15 years 8 months ago
Achieving range-free localization beyond connectivity
Wireless sensor networks have been proposed for many location-dependent applications. In such applications, the requirement of low system cost prohibits many range-based methods f...
Ziguo Zhong, Tian He
SENSYS
2004
ACM
15 years 7 months ago
Call and response: experiments in sampling the environment
Monitoring of environmental phenomena with embedded networked sensing confronts the challenges of both unpredictable variability in the spatial distribution of phenomena, coupled ...
Maxim A. Batalin, Mohammad H. Rahimi, Yan Yu, Duo ...
BMCBI
2005
87views more  BMCBI 2005»
15 years 1 months ago
Efficient decoding algorithms for generalized hidden Markov model gene finders
Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
William H. Majoros, Mihaela Pertea, Arthur L. Delc...
MOBISYS
2003
ACM
16 years 1 months ago
An Entity Maintenance and Connection Service for Sensor Networks
In this paper, we present a middleware architecture for coordination services in sensor networks that facilitates interaction between groups of sensors which monitor different env...
Brian M. Blum, Prashant Nagaraddi, Anthony D. Wood...