In this paper, several typical convolutional neural networks, VGG16, VGG19, Inception, Xception and Resnet50, are used to identify the modulation pattern of the constellation. It is found through experiments that the ...
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ISBN:
(纸本)9781728151021
In this paper, several typical convolutional neural networks, VGG16, VGG19, Inception, Xception and Resnet50, are used to identify the modulation pattern of the constellation. It is found through experiments that the Resnet50 network performs best in the recognition of constellations. Then, using the Resnet50 convolutional neural network, the two modes of the modulation mode and the signal-to-noise ratio of the constellation are simultaneously identified. When the accuracy of the signal-to-noise ratio is required to be 1 db, the identified quasi-group rate is 60 percent. When the accuracy of the signal to noise ratio is required to be 2db. The accuracy of recognition can reach 85 percent.
Wireless and batteryless sensing has recently attracted significant attention of researchers in IoT and WSN applications. It turns out to be more challenging when simultaneous data acquisition from multiple sensors is...
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ISBN:
(纸本)9781509044429
Wireless and batteryless sensing has recently attracted significant attention of researchers in IoT and WSN applications. It turns out to be more challenging when simultaneous data acquisition from multiple sensors is required. This paper introduces a non-orthogonal multiple access technique MSMA, using extremely simple wireless and batteryless sensor tags and a reader to support concurrent streaming from multiple sensors. By simultaneously handling non-orthogonal subcarriers, produced either by multiple or single sensor tag, it can realize concurrent sensor data streaming, which can be used in health monitoring of machinery and civil structures. The paper explains the two primary challenges in MSMA, the optimal assignment of subcarrier frequencies and the unavoidable harmonics from one subcarrier to others. Since the mutual interference among subcarriers is unevenly distributed over the available frequency band, random allocation of subcarrier frequencies may result in degraded system performance. Results show that the interference can be canceled out with the signalprocessing technique and the system communication capacity can be increased significantly with a proposed heuristic approach compared to random allocation of subcarrier frequencies to the sensor tags.
Wireless sensor Network (WSN) is leading towards a new and more advanced paradigm that is Internet of Everything (IoE). Ambient Assisted Living (AAL), which aims to support elderly and physically challenged persons, i...
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Wireless sensor Network (WSN) is leading towards a new and more advanced paradigm that is Internet of Everything (IoE). Ambient Assisted Living (AAL), which aims to support elderly and physically challenged persons, is based on sensornetworks. WSNs are mostly installed for a particular single application. Though, future of WSNs hides in WSN virtualization, which supports multiple applications. The aggregation of the sensor network resources in the form of software or hardware are supported by WSN virtualization. In Virtualizing WSN, the role of middleware layer is of supreme importance. However, a middleware layer faces overhead challenges of high processing time, delay, and the power consumption. The major challenge faced by AAL application in the paradigm of WSN virtualization is the delay caused by the aggregation of the sensed data. In this research paper efforts have been made to design a priority based multi-threading middleware design for sensor virtualization. The proposed middleware resides at the sensor node as well as the gateway that reduces the delay caused by the sensor virtualization. The proposed middleware design has been implemented and tested on the AAL testbed. (C) 2019 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-nd license (http://***/licenses/by-nc-nd/4.0/) Peer-review under responsibility of the conference Program Chairs.
Wireless sensornetworks (WSN) consist of nodes geographically distributed in a remote and hostile region to monitor certain real time events. sensor nodes collect the sensed data, process and forward it to the sink o...
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ISBN:
(纸本)9781509044429
Wireless sensornetworks (WSN) consist of nodes geographically distributed in a remote and hostile region to monitor certain real time events. sensor nodes collect the sensed data, process and forward it to the sink or base station using multi-hop transmission. Each sensor node is equipped with a battery which, in most cases, is impractical or infeasible to replace manually. Thus, one of the important research issues in WSN is minimizing energy dissipation that reduces the network lifetime. In WSNs with stationary sink, nodes near the sink forward more traffic than farther away nodes due to multihop forwarding. As a result, nodes near the sink deplete their energy faster than farther away nodes thereby reducing the WSN lifetime. To address this issue, an optimum mobile sink path based data gathering is proposed where a mobile sink follows the optimum path to collect the sensed data in a large-scale WSN.
The underwater target localization problem is one important application for underwater acoustic sensornetworks. A novel passive source location algorithm for underwater acoustic sensornetworks is proposed, which is ...
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This paper presents a new algorithm to reduce network energy consumption and extend network life cycle, the methods such as adding supplementary nodes, improving the probability of cluster node becoming cluster head, ...
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Node localization in mobile wireless sensornetworks is a challenging task because of the changing environments and outlying sensor readings. A robust cooperative localization algorithm based on particle filter is pro...
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Aiming at the problem of mechanical vibration measurement in material processing equipment at present, a vibration measurement method using MEMS micro-accelerometer as measuring sensor is proposed. The wireless sensor...
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Aiming at the problem of mechanical vibration measurement in material processing equipment at present, a vibration measurement method using MEMS micro-accelerometer as measuring sensor is proposed. The wireless sensor module with the core of CC2430 device is used to form the sending and receiving node of the signal. ADS8344 chip is used as the data acquisition converter to collect the vibration signals output by MEMS sensor. Collection, storage, control and other functional modules are integrated in the single chip microcomputer. At last, the vibration peak value and frequency of the system are tested, and the feasibility of the system is verified.
Wireless sensor network is a new type of network with embedded system, wireless communication, distributing computing and micro sensor technology. In order to understand principles and describe theory of wireless sens...
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There are many existing clustering protocols that aim at making the sensor network stay functioning longer out of which Low-Energy Adaptive Clustering Hierarchy (LEACH) and Threshold-based LEACH (T-LEACH) protocols. T...
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ISBN:
(纸本)9781509044429
There are many existing clustering protocols that aim at making the sensor network stay functioning longer out of which Low-Energy Adaptive Clustering Hierarchy (LEACH) and Threshold-based LEACH (T-LEACH) protocols. T-LEACH protocol takes advantage of LEACH main deficiency, which is about having high control overhead. In other words, T-LEACH proposes that cluster heads do not have to turn over every round but rather every batch of rounds. Nodes will keep serving as cluster heads as long as their energy is higher than a threshold energy. This article imposes upon major drawbacks of T-LEACH and proposes a Modified Threshold-based Cluster Head Replacement (MT-CHR). In MT-CHR, a new probability of being a cluster head, for any node in any round, has been proposed which agrees fairly with the assumptions introduced in LEACH protocol.
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