Quantum-dot cellular automata (QCA) is an attractive nanotechnology with the potential alterative to CMOS technology. QCA provides an interesting paradigm for faster speed, smaller size, and lower power consumption in comparison to transistor-based technology, in both communication and computation. This paper describes the design of a 4-bit multifunction nanosensor data processor (NSDP). The functions of NSDP contain (i) sending the preprocessed raw data to high-level processor, (ii) counting the number of the active majority gates, and (iii) generating the approximate sigmoid function. The whole system is designed and simulated with several different input data.
Abstract:In this paper, we have proposed a time efficient, energy saving and robust broadcast/multicast protocol for reconfigurable cluster-based sensor network. In our broadcast protocol, a broadcast can be executed in rounds and each node needs to be awake in rounds, where and d are the degrees of G and the sub-network induced by the network backbone, respectively, and h is the height of the backbone. When k channels are available, the broadcast can be executed in rounds and each. We show that our broadcast protocol can be readily modified to the one for multicast. The cluster-based architecture used in this paper for a sensor network is an improved version in [19]. The proposed network architecture is self-constructible and self-reconfigurable by using two topological management operations: node-move-in and node-move-out. Details of the protocol along with experimental results are discussed. Simulation results show that the protocol performance is much better than that in the theoretical analysis.
IntroductionWireless sensor networks (WSNs) are clear application specific and have specialized communication patterns in which broadcast, multicast and data gathering are more important than traditional point-to-point communication in computer networks. The geographical topology of a WSN changes when network connectivity changes. For example, a power-trained sensor node withdraws its connection from its network when its battery voltage is low and comes back to the network when it is recharged. When the topology of a WSN is changed as such, the routing protocol and network architecture are necessary to be updated.Broadcast protocols have been well studied in WSNs. Given a flat WSN, say G (an unstructured WSN formed naturally after sensor nodes are deployed) with n sensor nodes, assuming that the nodes know only their IDs and use a single radio channel without collision detection capability, the lower bound of a broadcast is rounds [1]. An broadcast is achieved in [9]. If the nodes have topology awareness, the lower bound of a broadcast can be ) (n ) (n O *
Prognostics refers to the estimation of remaining useful life (RUL) of components of a system after a fault has been identified. Online prognostics indicates the estimation of RUL every time a new health data is provided to the user. In this paper, an artificial neural network (ANN) based approach is proposed for designing a prognostic system for aircraft turbine engine. A trained ANN is developed to estimate the health parameters such as component efficiency ( TJ) and flow capacity (-y). The ANN was trained for a very small value of mean squared error (MSE). Then a forecasting (prediction) method is used to model the trend of estimated health parameters. The model is developed by autoregressive technique (AR) and all the data processing is done online. The proposed prognostic system also compute the distribution of the end of life (EoL) estimation of the failed component. The EoL and RUL estimation are implemented by modeling the health data using moving window and progressive window. The standard deviation (17) of the distribution of estimated EoL indicates that progressive window performs better than the moving window with a 17 reduction factor of 0.6 and 0.5 for TJ and 'Y respectively.
Cooperation tasks among distributed and autonomous systems require: 1) assessments of the systems current capabilities in relation to the goal and, 2) assessments of the systems current actions in relation to the goal. These assessments should lead to decisions and/or actions in relation to the completion of the cooperation task. In this paper, an assessment strategy is presented for implementation in a distributed control system architecture that focuses on a cooperation task. The assessment strategy was developed for high level decision-making and was based on fuzzy logic type-I. The assessment strategy and the distributed control architecture were implemented in a Matlab environment and tested using a group of simulated differential-drive mobile robots to perform a specific cooperation task.
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