DESC: Distributed Energy Efficient Scheme to Cluster Wireless Sensor Networks

Neamatollahi, Peyman; Taheri, Hoda; Naghibzadeh, Mahmoud; Yaghmaee, Mohammad Hossein

doi:10.1007/978-3-642-21560-5_20

Cited by 19 publications

(18 citation statements)

References 15 publications

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“…The formula (6) adjusts the step length Δ to ensure that the dynamic threshold of each neuron has a linear attenuation trend; the threshold amplitude constant h is usually a large number, in order to ensure that the ignition frequency of each neuron is no more than once which provides the premise for the timed matrix operation in the formula (7).…”

Section: B Iicm and Determination Of Related Parametersmentioning

confidence: 99%

“…Multi-sensor image is often interfered by the imaging device and the impulse noise in the external environment in the collection, transmission and conversion process, and the pixels polluted by this type of noise usually presents in the way that there are significant differences between the brightness value of themselves and their neighborhood pixels and in the visual effects their will also appear a certain degree of black-and-white light and dark points, which not only greatly reduce the image quality, but also bring a big inconvenience to image segmentation, image fusion, and a series of follow-up work [1][2][3]. Moreover, the presence of impulse noise will also bring a lot of interference to the image recognition, which can easily cause the wrong or omitting justice of the decision-making system [4][5][6][7]. So how to effectively remove the impulse noise in the source image has become a top issue in the field of image preprocessing field.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Image De-noising Algorithm in Intersecting Cortical Model

Chai¹

2013

JMM

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Because the classic intersecting cortical model (ICM) and the traditional image de-noising algorithm exist the deficiencies-the image collection, transmission and conversion are often subjected to impulse noise interference, thus affecting the quality of the image, therefore we improved the framework structure and related parameters of the ICM and proposed the adaptive image de-noising algorithm. Through improving the intersecting cortical model (ICM), we use the timed matrix information of the improved IICM to determine the specific location of the pixels polluted by the impulse noise, and then use the adaptive image de-noising algorithm to complete the de-noising process of the noise pixels on the basis of the improved IICM structure. Finally we made a detailed experimental validation and comparison. The experiments show that the improved intersecting cortical model (ICM) and the adaptive image de-noising algorithm have the superior impulse noise filter performance than the classic de-noising algorithm and can improve the image quality

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Section: B Iicm and Determination Of Related Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive Image De-noising Algorithm in Intersecting Cortical Model

Chai¹

2013

JMM

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“…localizing base station at the center, which is quite impractical. Neamatollahi et al [17] have considered multiple criteria for formulating cluster in wireless sensor network. The technique limits its usage in homogenous network only.…”

Section: Introductionmentioning

confidence: 99%

MeMLO: Mobility-Enabled Multi-Level Optimization Sensor Network

Rajalakshmi¹,

Prakash²

2017

IJECE

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The paper presents a technique called as Mobility-enabled Multi Level Optimization (MeMLO) that addressing the existing problem of clustering in wireless sensor net-work (WSN). The technique enables selection of aggregator node based on multiple optimi-zation attribute which gives better decision capability to the clustering mechanism by choosing the best aggregator node. The outcome of the study shows MeMLO is highly capable of minimizing the halt time of mobile node that significantly lowers the transmit power of aggregator node. The simulation outcome shows negligible computational com-plexity, faster response time, and highly energy efficient for large scale WSN for longer simulation rounds as compared to conventional LEACH algorithm. Keyword:Battery Clustering Network lifetime Optimization Optimization Wireless sensor network Copyright © 2017 Institute of Advanced Engineering and Science.All rights reserved.Corresponding Author:M.C Rajalakshmi, University of Mysore, India. E-Mail: rajhar70@gmail.com INTRODUCTIONWith the increasing adoption of WSN in upcoming application like Internet-of-Things, the awareness of the potential features and limitations are being consistently a point of focus among the research community. A sensor node is a very miniature device that can sense environmental events and uses routing principle to transmit the data to base station. As sensors are deployed in unmanned surveilled area, so it is essential that such sensor should optimally operate even in adverse conditions too. In order to support such operation, a sensor should have enough battery lifetimes, which is one of the restricted resources in them. Apart from this, there are many reasons of energy depletions. The prominent reason is the process called as data aggregation which requires a specific level of transmittance energy for each sensor node to forward the data. Hence, there are various studies [1-2] that have focused on energy efficient clustering process for enhancing the network lifetime. However, there are major pitfalls too in this. The secondary reason is routing protocol in WSN. Among different forms of protocol i.e. flat, hierarchical, and hybrid [3], availability of standard energy efficient routing protocol is extremely less compared to other routing techniques in WSN. Among the energy efficient routing technique, LEACH protocol [4] is one of the most frequently used approach for benchmarking in 95% of the research work. The prime reason behind this is LEACH is one of the protocols that was tested on original MicaZ motes and has potential supportability of hardware circuitry of the motes along with mathematical formulation for antenna theory. LEACH was tested both on hardware as well as on computational based approach and hence its reliability score is top most compared to other energy efficient protocols e.g. PEGASIS [5], TEEN [6], APTEEN [7], HEED [8], that were tested originally from hypothetical or simulation viewpoint. Although, LEACH has many new variants but still none of the variants of LEACH was testi...

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“…a variety of ways access, each endpoint can gain access to the network QOS (especially the available bandwidth) which has a big difference. Important such as small world and scale-free network features was found in succession in the end of the 20th century, more and more science researchers begin to through a complex network perspective to look at and study the complex system of nature and human society, involved in the study of complex networks [4][5][6][7]. The complex network data flow research is one the key research direction.…”

Section: Introductionmentioning

confidence: 99%

“…So, to improve congestion of critical network load capacity as much as possible has become core problem to solve. Previously many science researchers had made a lot of research, has achieved fruitful results [5][6][7]. Arenas A provided a state parameter for analysis the free state network to congestion status transformation that provides the perfect theoretical description way; Wang D proposed multiple routing policy that can improve the network load [8][9][10]; Guimera R discovered the relationship between the network data flow load with network Betweenness, and found that network load and network node Betweenness is inversely proportional to the largest [11][12][13]; Zhang G Q proposed that by deleting some edges on the network to reduce network node Betweenness, it can raise capacity of network load of delete edge expansion method, HU, M B analysis spare bandwidth allocation, network load ability of qualitative change [14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Bandwidth Allocation Algorithm of Heterogeneous Network

Hu¹,

Wang²,

Zhang³

2014

JNW

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In order to reasonable and effective distribute bandwidth to giving full play to the advantages of network resources and improve the efficiency of network data flow in heterogeneous network, this paper puts forward a heterogeneous network bandwidth allocation algorithm. The algorithm is adopted connection bandwidth constraint mechanism in the flow model, starting from the data transmission in the network key topological properties, and combines with routing strategy, using the connection bandwidth allocation to regulate the flow of the network data flow, to achieve ease network congestion, increase network load capacity, at the same time, the qualitatively analyses the process and cause of the change of the flow. Finally in scale-free network and small-world network on the network topology platform made simulating experiment, the experimental results show that: The algorithm optimizes the network bandwidth resource allocation, regulates the network traffic, increased the network load capacity.

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DESC: Distributed Energy Efficient Scheme to Cluster Wireless Sensor Networks

Cited by 19 publications

References 15 publications

Adaptive Image De-noising Algorithm in Intersecting Cortical Model

Adaptive Image De-noising Algorithm in Intersecting Cortical Model

MeMLO: Mobility-Enabled Multi-Level Optimization Sensor Network

Bandwidth Allocation Algorithm of Heterogeneous Network

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