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Fault tolerance is a key research area for many of applications such as those based on sensor network technologies.
In the third paper, "Determining localized tree construction schemes based on sensor network lifetime," Lee et al. study the network lifetime of different localized data gathering tree formation algorithms by considering the communication overhead due to imperfect link quality.
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We propose a novel vision for roadway safety warning based on sensor networks, aiming at providing user-friendly zero-delay safety warnings to motorists.
We conclude that roadway safety warning based on sensor networks is a promising idea for realizing ITS's "Zero Fatality, Zero Delay" roadway safety philosophy.
This work presents and validates a design model for monitoring and diagnosis systems based on sensor networks exploiting potentialities of the holonic approach.
The following applications and extensions are suggested: applications in fault detection and diagnosis of distributed parameter systems based on sensor networks and virtual instrumentation, allowing the treatment of large and complex systems with many variables, and also on learning and extrapolation.
Starting from three standard methods to implement the novel estimation algorithms based on sensor networks for distributed parameter systems, in the discretized version of them, we are showing what is the better method to increase the quality of estimation, related to the complexity of implementation.
This project developed a wireless hybrid network testbed to assess cross-layer interactions in heterogeneous wireless systems based on sensor and mesh networks.
Payments and micropayments: Automated payments to business network participants based on sensor data (indicating, for example, service completion or product delivery), as well as micropayments between devices themselves in certain networks for functions and capabilities — all without human involvement.
In this article, sensor network with mobile station (SNMS), a novel two-tiered intelligent transportation system (ITS) network architecture based on wireless sensor network (WSN) and peer-to-peer (P2P) network, is proposed to provide significant traffic information about the road and thereby, assist travelers to take optimum decisions when they are driving.
A model for bacterial population evaluation was built by using a back propagation neural network (BPNN) based on sensor responses from the E-nose.
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