[PDF] Top 20 Analysis of Data Prediction Algorithms in Wireless Sensor Networks

... Abstract-- Wireless Sensor Network (WSNs) is a network that consists of several sensor nodes which are resource ...gather data from external environment and send data to base ...the ... See full document

... performance analysis of different data compression algorithms for energy conservation in WSN is ...the algorithms are tested on univariate ...two algorithms. In future, this can be ... See full document

... Genetic Algorithms [4], authors discussed about the coverage and connectivity problem in target based wireless sensor network and the usage of proposed algorithm to solve ...placing sensor ... See full document

... with sensor nodes estimating convergence of various gases in the ...gathered sensor readings are then sent to a backend framework, which builds up database speaking to the air quality in chose ...tolerant ... See full document

... a sensor node deployment algorithm based on cellular grid, which can accurately deploy the monitoring area, not only can achieve complete coverage but also can accurately deploy some redundant nodes to extend net- ... See full document

... five algorithms of node showed a trend of ...of algorithms: DV-hop and Amorphous, the main localization error comes from the calculation process of the average distance of each hop, so the decreased trend ... See full document

... of data in wireless sensor networks has a significant impact on decision support, and data cleaning is an effective way to improve data ...the data cleaning strategies are ... See full document

... Detection of Node Capture Attack (DNCA) This method uses the idea that the bodily captured nodes aren’t contributed inside the community from the captured duration to the redeployment period. The captured nodes no longer ... See full document

... the data from multiple sensors to eliminate redundant transmission and provide fused information to the base ...station. Data latency and accuracy are important in many applications such as environment ... See full document

... position data in an extensible and optimal fashion and therefore bears location-based routing in large-scale wireless sensor ...on sensor networks, including selective forwarding, ... See full document

... A wireless sensor network with large number of sensor nodes can be used as an effective tool for collecting data in various ...in wireless communications and electronics has enabled the ... See full document

... Weather prediction or disaster early-warning models based on deep learning have become popular in recent ...correspondence analysis model (MCA-NN) for disaster information ...neural networks to ... See full document

... The data aggregation [R. Rajagopalan and P. Varshney, “Data-Aggregation Techniques in Sensor Networks: A Survey,” IEEE ...in Wireless Sensor Networks: Distributed ... See full document

... of wireless sensor networks (WSNs) higher than beforein order toachieve a set of basic requirements such as connectivity with networks without human ...such networks for personal needs ... See full document

... 2012[1] Data collection process is one of the significant aspects in the design consideration for future analysis in wireless sensor ...sensed data from their respective child nodes ... See full document

... exploiting data correlation and predicting values at some future intervals so as to reduce energy consumption by eliminating redundant readings and tuning sensing frequency of SNs according to the nature of the ... See full document

... of wireless networks is a formidable field with many ...node data storage, node data updating; all these points can be very relevant and greatly affect the outcome of the system if not taken ... See full document

... GD algorithms. The FNR and GD algorithms allow the WSN to consume more energy after 8,000 events because the inside nodes re energy-depleted, but the outside nodes continue to attempt to transfer event ... See full document

... uses wireless sensor network and employs grey prediction to improve the accuracy of different location algorithms (KNN, SMP, TN, and ...grey prediction can predict the tendency of RSSI ... See full document

... of wireless sensor network. In order to achieve this sensor nodes have to be grouped together to operate and gather the aggregated information autonomously in the ...network. Sensor nodes are ... See full document