In the application of Wireless sensor networks (WSNs), effective estimation for link quality is a basic issue in guarantying reliable data transmission and upper network protocol performance. A mechanism proposed, which based on Support vector machine (SVM) with multi-class classification. Under analysis wireless characteristics, two physical parameters communication, Receive signal strength indicator (RSSI) Link (LQI), are chosen as parameters. The divided into five levels according to...

In wireless sensor networks, effective link quality estimation is the basis of topology management and routing control. Effective can guarantee transmission data, as well improve throughput rate, hence, extend life entire network. For this reason, a stacked autoencoder-based estimator (LQE-SAE) proposed. Specifically, zero-filling method developed to process original missing information. Then, SAE model used extract asymmetric characteristics uplink downlink from received signal strength...

Link quality is an important factor for nodes selecting communication links in wireless sensor networks. Effective link prediction helps to select high communication, so as improve stability of communication. We propose the improved fuzzy C-means clustering algorithm (SUBXBFCM) and use it adaptively divide grades according packet reception rate. The Pearson correlation coefficient employed analyse between hardware parameters averages received signal strength indicator, indicator noise ratio...

Evaluation of key nodes is a hot issue in social networks. Existing research primarily evaluates the importance networks based on centrality metrics, neglecting node's own attributes. After analyzing topology attributes and basic nodes, this article proposes evaluation method for networks, which analytic hierarchy process (AHP) improved Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR), termed AE-VIKOR. Considering global attributes, local positional three metrics are...

Wireless sensor networks (WSNs) are resource-constrained networks, especially when the energy is highly constrained; application of WSNs severely restricted. Data fusion can effectively reduce volume data transmission in network, consumption to extend network lifetime and improve bandwidth utilization, as a result, it overcome restriction bandwidth. This paper gives survey on classical wireless from following aspects: constructing an aggregation tree correlation processing, etc. And finally...

UML activity diagram is suitable for modeling parallel and concurrent flows in an actual system. It also significant software testing. The subactivity state divides the into two kinds: atomic compound diagram, who constructs hierarchy of whole diagram. Dealing with a key issue during test case generation. This paper proposes method generating from to hierarchically introduces idea this by taking thought functional decomposition, bottom-up integration testing strategy round-robin strategy....

In wireless sensor networks, three-dimensional localization is important for applications. It becomes a challenge with the scale of network getting large. This paper proposes algorithm large WSN on basis cluster. Focusing MDS-based localization, it adopts cluster structure and global coordinate system to represent whole logically, reduces influence range measurement errors through decreasing probability multi-hop. With combination variable power nodes triangle principle, can be corrected....

Link prediction is to estimate the possibility of future links among nodes by utilizing known information such as network topology and node attributes. According characteristics opportunistic networks (topological time-variation, mobility intermittent connections), this paper proposes a novel link approach (IRWR-DBN) for that based on random walk deep belief network. First, we reconstruct Markov probability transition matrix define similarity index- improved with restart (IRWR). Second,...

Localization is very important for the applications in wireless sensor network. For disadvantage that accuracy of traditional DV-Hop algorithm low, this paper proposes an improved localization named NDV-Hop (Novel algorithm). takes some improvements over from following aspects: firstly, average hop distance calculated by taking all beacon nodes into account. Secondly, position information unknown amended adopting error value nodes. Finally, out-of-scope node revised boundary coordinates as...

This paper proposes a CCI-Based (Chip Correlation Indicator) link quality estimation mechanism for wireless sensor networks, which is used under the case of perceive packet loss. studies on relationship model between CCI and PRR (Packet Receive Rate) loss, carried out foundation doing analysis sending receiving process data frame factors affect quality. The building CCI-PRR divided into two parts: first CCI-SER (Symbol Error model, second SER-PRR model. During period, nodes continuously...

Wireless sensor networks have been proposed for many location based applications, so the localization problem in wireless has got considerable attentions these days. More and more researchers pay attention to how use information implement specific application locate nodes accurately. In this paper, DV-hop algorithm is introduced, influence of beacon on average error are explored. The paper focuses placement quantity affect error. And simulations show results

The prediction of link quality can provide selection service for the upper-layer protocol in wireless sensor networks (WSNs). This paper presents a mechanism based on time series forecasting model. It mainly includes calculation current value packet reception rate (PRR), future value, and routing measure quality. Experimental results indicate that use fewer probe packets to get more accurate estimation decrease extra energy consumption compared with counting-based PRR estimators.

Measurements of the flow field in a cyclone separator with and without reducing pressure drop stick (Repds) showed that Repds reduces peak tangential velocity, axial velocity gradient, radial gradients static total reverses gradient. These changes reduce energy consumed by rotating kinetic energy, internal friction, turbulent drag negative difference. The results are used to discuss why separation efficiency remains high while is reduced. also show 24% "short flow" occurs near entrance....

Location is crucial to wireless sensor network monitoring. Therefore, node localization becomes a key technology. After analyzing DV-Hop propagation algorithm and ABC algorithm, this paper proposes novel three-dimensional approach, which called DHA (DV-hop ABC) algorithm. It introduces the idea of in detail, finally implements on WSN test bed. By experimental results, accuracy accepted with new approach.

This paper proposes a Mobility Prediction Clustering Routing (MPCR) algorithm in view of UAV (Unmanned Aerial Vehicle) moves at high speed and its topology changes frequently. The is applied to Teams. MPCR selects the node that has largest connectivity as cluster head so reduce change members. Meanwhile, order provide communication services for disconnected clusters, introduces ferry nodes which forward messages selectively diffuse submit copy message better. Experiment results show compared...

The link quality of wireless sensor networks is the basis for selecting communication links in routing protocols. Effective estimation helpful to select high-quality and improve network stability. correlation parameter packet reception rate (PRR) calculated by Pearson coefficient. According coefficient values, averages indication, received signal strength signal-to-noise are selected as parameters quality. grade taken a metric estimation. Particle Swarm Optimization (PSO) algorithm used...

In wireless sensor networks, localization is one of the fundamental technologies and essential to its applications. this paper, we propose a three‐dimensional range‐free scheme named hexahedral localization. scheme, space divided into lot hexahedrons. Then, all unknown nodes are located by utilizing perpendicular properties trajectory. The contribution our can be summarized two points. First, it fills gap shortage based on mobile beacons. Second, brings in outstanding accuracy. simulation...

Link prediction for opportunistic sensor network has been attracting more and attention. However, the inherent dynamic nature of makes it a challenging issue to ensure quality service in network. In this article, novel deep learning framework is proposed predict links The stacks conditional restricted Boltzmann machine which models time series by appending connections from past steps. A similarity index based on parameters describe similarities between nodes. Through tuning rate...

A novel water quality monitoring method named WQMMFCE is proposed based on fuzzy comprehensive evaluation model to solve the issue of high energy consumption caused by centralized approach under background monitoring. The weights all factors which are necessary for can be obtained firstly using binary expert evaluation. information needs transmit decided according grade quantitatively analyzed directly rather than transmitting large amount raw data center. Simulation result shows that has a...

Node importance evaluation is a hot issue in complex network analysis. Existing node methods are mainly oriented to homogeneous networks, which ignore the heterogeneity of types and edges. We propose an MLN critical method based on graph convolution. In this paper, we generate feature matrix nodes. Considering diversity network, design adapted sampling meta path. An embedding model constructed convolutional (MGC). Besides, negative technique used complete MGC training. Metrics by combining...

For the fact that traditional Access Control models are mostly static, coarsely grained, and not well suited for solving application in security of web services. This paper extends access control by introducing actions based on attribute-based control. The model avoids complex structure multi-attribute solves problem relevant dynamic authorization permission changes. structures using SAML XACML. implementation this is given through examples.