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[PDF] Top 20 An adaptive, self-organizing, neural wireless sensor network.

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An adaptive, self-organizing, neural wireless sensor network.

An adaptive, self-organizing, neural wireless sensor network.

... RSOM neural algorithms for activation levels (Equation 1) and the learning rule (Equation 3) remain unchanged in the WSN architecture proposed in this ...neiiral network with wireless sensor ... See full document

94

A Self-Organizing Diffusion Mobile Adaptive Network for Pursuing a Target

A Self-Organizing Diffusion Mobile Adaptive Network for Pursuing a Target

... designing self-organizing diffusion mobile adaptive networks where the individual agents are allowed to move in pursuit of an ...diffusion-based adaptive learning ...mobile adaptive ... See full document

7

Self organizing kernel adaptive filtering

Self organizing kernel adaptive filtering

... the network size of QKLMS-MDL varies with the input speech ...the network size of QKLMS-MDL only changes dramatically during the phoneme transi- tions [e:r], [ei], [i], and [r], because the signal ... See full document

12

Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm

Increasing the lifetime of wireless sensor networks by Self-Organizing Map algorithm

... Wireless sensor networks are composed of a large number of sensor nodes with limited energy ...in wireless sensor networks is how to gather sensed information in an energy efficient way ... See full document

8

Supervised Self-Organizing Classification of Superresolution ISAR Images: An Anechoic Chamber Experiment

Supervised Self-Organizing Classification of Superresolution ISAR Images: An Anechoic Chamber Experiment

... a self-organizing neural network and com- bines the principles of VQ (vector quantization) [7] and ART (adaptive resonance theory) ... See full document

14

The development of a Wireless Sensor Network sensing node utilising adaptive self diagnostics

The development of a Wireless Sensor Network sensing node utilising adaptive self diagnostics

... Figure 1 is a schematic showing the information flow within the PROSEN WSN. Each node will also have a short range (174 MHz) radio in order to commu- nicate with its nearest neighbour. This enables a second level of data ... See full document

15

Adaptive Scalable Cross Layer Framework for Multi-hop Wireless Sensor Networks

Adaptive Scalable Cross Layer Framework for Multi-hop Wireless Sensor Networks

... Wireless Sensor Networks (WSNs) represent a new generation of distributed systems to support a broad range of ...the sensor useless once battery life is ...In sensor networks, nodes are ... See full document

7

Energy Efficient Neural Network Technique to Recover Collision in WSN

Energy Efficient Neural Network Technique to Recover Collision in WSN

... Abstract: Wireless Sensor Networks (WSN) are highly distributed self-organized ...of sensor network is to disperse tiny sensing devices; which are capable of sensing some changes of ... See full document

8

Modelling and Self-organizing in Mobile Wireless Sensor Networks: Application to Fire Detection

Modelling and Self-organizing in Mobile Wireless Sensor Networks: Application to Fire Detection

... mobile wireless sensor ...of wireless sensor network technology in real-time forest fire ...a wireless network ...a Wireless Sensor ... See full document

7

Wireless Sensor Network Technology and Networking Algorithms for Wireless Sensor Network Applications: A Survey

Wireless Sensor Network Technology and Networking Algorithms for Wireless Sensor Network Applications: A Survey

... the Wireless Sensor Network (WSN) is an emerging field of electronics, ensuring research of applied ...of wireless sensor network motivate to undertake the research work in this ... See full document

11

The Application of Genetic Neural Network in Network Intrusion Detection

The Application of Genetic Neural Network in Network Intrusion Detection

... of network security technology which can actively protect your computer from intruders’ ...to network security administrators, which can allow administrators to take certain preventive or remedial measures ... See full document

8

Patient Health Monitoring in Wireless Sensor Network

Patient Health Monitoring in Wireless Sensor Network

... of Wireless Sensor Network (WSN) is health monitoring ...The Sensor Network of these wireless modules must have a reliable range and must be competent to deliver the ...the ... See full document

5

An Adaptive ANT Algorithm for Wireless Mobile Sensor Network

An Adaptive ANT Algorithm for Wireless Mobile Sensor Network

... The results of our ACO-LBR simulations are shown in Figure 4 (top) for m = 0.1 and α = 2. We observe that ACO-LBR takes some advantage of the presence of heterogeneity (advanced nodes), as the first node dies after a ... See full document

5

Filtered Wall: An Automated System to Filter Unwanted Messages from OSN User Walls

Filtered Wall: An Automated System to Filter Unwanted Messages from OSN User Walls

... interpolation [13], and are demonstrated to have the universal approximation property [14], [15]. As outlined in [16], RBFN main advantages are that classification function is nonlinear, the model may produce confidence ... See full document

6

Wireless Sensor Network of 3 – Bit ADC

Wireless Sensor Network of 3 – Bit ADC

... electronic sensor independent device, packaged with different sensors, intelligence, and even remote communication capabilities (density of a sand- particle and ... See full document

6

Two New Secure and Efficient Data Transmission Protocols SET-IBS and SET- IBOOS for WSN

Two New Secure and Efficient Data Transmission Protocols SET-IBS and SET- IBOOS for WSN

... Sec LEACH, GS-LEACH and RLEACH are some of the secure data transmission protocols. These protocols are based on LEACH. These protocols however, make use of symmetric key management for security. They suffer from the ... See full document

7

Enhanced Self Organizing Map Neural Network for DNA Sequence Classification

Enhanced Self Organizing Map Neural Network for DNA Sequence Classification

... SOM does not require an external teacher during the training phase. Therefore, SOM classified as unsuper- vised neural networks. The SOM receives a number of input patterns, discovers significant features in these ... See full document

9

Efficient Survivable Self Organization for Prolonged Lifetime in Wireless Sensor Networks

Efficient Survivable Self Organization for Prolonged Lifetime in Wireless Sensor Networks

... about network dimension, node capacity, or location awareness and terminates in a constant number of ...a sensor collected at the end of previous ... See full document

6

Weight Optimize by Automatic Unsupervised Clustering using Computation Intelligence

Weight Optimize by Automatic Unsupervised Clustering using Computation Intelligence

... Layer 3: Processing – This stage consists of 3 important algorithms. The first layer of radial basis function [13] is an input layer in the neural network requiring the adjusted weight value from previous ... See full document

5

Research on the Status of Wireless Self organizing Network

Research on the Status of Wireless Self organizing Network

... developed wireless packet network, after decades of development and ...evolution. Wireless packet networks gradually became today's wireless self-organized ...traditional ... See full document

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