scholarly journals Distributed Data Mining in Wireless Sensor Networks

2016 ◽  
Vol 12 (11) ◽  
pp. 68
Author(s):  
Juan Du ◽  
Fenfen Wu
Keyword(s):  
Data Mining ◽  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Rapid Development ◽  
Wireless Sensor ◽  
Distributed Data Mining ◽  
Distributed Data ◽  
Data Resource ◽  
Powerful Knowledge

With the rapid development and wide application of sensor network technology, consequently a huge volume of data would be continuously generated and collected. In order to process the data and analyze the data more accurate and efficient, the paper proposed a distributed data mining method in wireless sensor networks. Thus Smart Octopus, an open framework for seamlessly integrating sensor network and data mining technology, so that both of the huge amounts of data resource collected in sensor networks and the powerful knowledge discovery capability of data mining could be effectively and efficiently utilized, is discussed in this paper.

Deep learning with LSTM based distributed data mining model for energy efficient wireless sensor networks

2020 ◽  
Vol 40 ◽  
pp. 101097 ◽  
Author(s):  
Sachi Nandan Mohanty ◽  
E. Laxmi Lydia ◽  
Mohamed Elhoseny ◽  
Majid M. Gethami Al Otaibi ◽  
K. Shankar
Keyword(s):  
Data Mining ◽  
Wireless Sensor Networks ◽  
Deep Learning ◽  
Sensor Networks ◽  
Energy Efficient ◽  
Wireless Sensor ◽  
Distributed Data Mining ◽  
Distributed Data ◽  
Mining Model

Research on the Time Synchronization Technology of Wireless Sensor Network

2014 ◽  
Vol 1070-1072 ◽  
pp. 2033-2036
Author(s):  
Ya Qin Fan ◽  
Jing Ya Wang ◽  
Shu Ting Liu
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Time Synchronization ◽  
Rapid Development ◽  
Wireless Sensor ◽  
Practical Significance ◽  
Basic Characteristics ◽  
Definition Of

The paper studies the basic characteristics and the definition of the wireless sensor networks, the time synchronization of wireless sensor network and the algorithm of time synchronization in wireless sensor networks. This paper studies the RBS algorithm and its improved algorithm. The research results have practical significance to the rapid development of network and the future network.

scholarly journals A Distributed Optimization Algorithm for Energy of Wireless Sensor Networks Based on Potential Game

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Lingfeng Shao ◽  
Junjie Yang ◽  
Jicheng Fang
Keyword(s):  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Rapid Development ◽  
Energy Optimization ◽  
Energy Utilization ◽  
Wireless Sensor ◽  
Potential Game ◽  
Detection Range

Recently, we have witnessed the rapid development of techniques on upgrading energy efficiency for wireless sensor networks (WSN). With the improvement of the detection range and the detection intensity, the lifetime of wireless sensor networks (WSN) is still limited by sensor node batteries (BA). Due to the need for wireless sensor network energy optimization, the power supply side has been putting forward higher requirements, and the traditional wireless sensor network with energy supplement has difficulty in meeting this development trend. The game and potential game concepts were introduced to take economics into account. Taking the wireless sensor network (WSN) with photovoltaic (PV) array charging and mobile-charging car (MCC) as an example, a running optimization model based on potential game is proposed, and the existence of Nash equilibrium has been proven. The iterative solution is completed by communication between the players, and the energy utilization rate is effectively improved. This paper verifies that potential game theory can be used to improve the feasibility and efficiency of wireless sensor network energy optimization.

scholarly journals Performance metrics in wireless sensor networks :a survey and outlook

2018 ◽  
Vol 7 (2.26) ◽  
pp. 25
Author(s):  
E Ramya ◽  
R Gobinath
Keyword(s):  
Wireless Sensor Networks ◽  
Quality Of Service ◽  
Wireless Sensor Network ◽  
Sensor Networks ◽  
Sensor Network ◽  
Performance Metrics ◽  
Resource Constraints ◽  
Sensor Data ◽  
Wireless Sensor

Data mining plays an important role in analysis of data in modern sensor networks. A sensor network is greatly constrained by the various challenges facing a modern Wireless Sensor Network. This survey paper focuses on basic idea about the algorithms and measurements taken by the Researchers in the area of Wireless Sensor Network with Health Care. This survey also catego-ries various constraints in Wireless Body Area Sensor Networks data and finds the best suitable techniques for analysing the Sensor Data. Due to resource constraints and dynamic topology, the quality of service is facing a challenging issue in Wireless Sensor Networks. In this paper, we review the quality of service parameters with respect to protocols, algorithms and Simulations. 

scholarly journals Searching Algorithm of Dormant Node in Wireless Sensor Networks

2017 ◽  
Vol 13 (05) ◽  
pp. 122 ◽  
Author(s):  
Bo Feng ◽  
Wei Tang ◽  
Guofa Guo
Keyword(s):  
Wireless Sensor Networks ◽  
Energy Consumption ◽  
Sensor Networks ◽  
Sensor Network ◽  
Delaunay Triangulation ◽  
Base Station ◽  
Wireless Sensor ◽  
Effective Mechanism ◽  
Dormant State ◽  
Important Nodes

In wireless sensor networks, the nodes around the base station have higher energy consumption due to the forwarding task of all the detected data. In order to balance the energy consumption of the nodes around the base station, a reasonable and effective mechanism of node rotation dormancy is put forward. In this way, a large number of redundant nodes in the network are in a dormant state, so as to reduce the load of important nodes around the base station. The problems of the redundant nodes in the sensor network are analyzed, and a new method is proposed to distinguish the redundant nodes based on local Delaunay triangulation and multi node election dormancy mechanism. The experimental results showed that this method could effectively distinguish the redundant nodes in the network; at the same time, through the multi round election mechanism, parts of redundant nodes are made dormant. In summary, they can reduce the network energy consumption on the condition of guaranteeing the original coverage.

scholarly journals An Energy Aware Multipath Routing Algorithm for Wireless Sensor Networks

2017 ◽  
Vol 13 (04) ◽  
pp. 45 ◽  
Author(s):  
Liping LV
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Sensor Network ◽  
Data Transmission ◽  
Routing Algorithm ◽  
Path Selection ◽  
Low Energy ◽  
Wireless Sensor ◽  
Energy Aware ◽  
Transmission Path

<p class="0abstract"><span lang="EN-US">Wireless sensor network is a new field of computer science and technology research. It has a very broad application prospects. In order to improve the network survival time, it is very important to design efficient energy-constrained routing protocols. In this paper, we studied the characteristics of wireless sensor networks, and analyzed the design criteria of sensor network routing algorithms. In view of the shortcomings of traditional algorithms, we proposed an energy-aware multi-path algorithm. When selecting a data transmission path, the energy-aware multi-path algorithm can avoid nodes with low energy levels. At the same time, it takes the remaining energy of the node and the number of hops as one of the measures of the path selection. The multi-path routing algorithm realized the low energy consumption of the data transmission path, thus effectively prolonging the network lifetime. Compared with the traditional algorithm, the results show that our method has high reliability and energy efficiency.</span></p>

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