Entropy-based Correlation Clustering for Wireless Sensor Networks in Multi-Correlated Regional Environments

Nga, Nguyễn Thị Thanh; Khanh, Nguyen Kim; Hong, Son Ngo

doi:10.5573/ieiespc.2016.5.2.085

Cited by 4 publications

(2 citation statements)

References 12 publications

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“…The impacts of the proposed correlation model for the development of efficient data aggregations for WSNs including data compression and representative aggregation are considered. This paper is the correction and the extension of our previous studies in References [ 24 , 25 ].…”

Section: Introductionmentioning

confidence: 79%

Entropy Correlation and Its Impacts on Data Aggregation in a Wireless Sensor Network

Thanh

Kim

Hong

et al. 2018

Sensors

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A correlation characteristic has significant potential advantages for the development of efficient communication protocols in wireless sensor networks (WSNs). To exploit the correlation in WSNs, the correlation model is required. However, most of the present correlation models are linear and distance-dependent. This paper proposes a general distance-independent entropy correlation model based on the relation between joint entropy and the number of members in a group. This relation is estimated using entropy of individual members and entropy correlation coefficients of member pairs. The proposed model is then applied to evaluate two data aggregation schemes in WSNs including data compression and representative schemes. In the data compression scheme, some main routing strategies are compared and evaluated to find the most appropriate strategy. In the representative scheme, with the desired distortion requirement, a method to calculate the number of representative nodes and the selection of these nodes are proposed. The practical validations showed the effectiveness of the proposed correlation model and data reduction schemes.

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Section: Introductionmentioning

confidence: 79%

Entropy Correlation and Its Impacts on Data Aggregation in a Wireless Sensor Network

Thanh

Kim

Hong

et al. 2018

Sensors

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“…In WMSN, it is important to communicate efficiently and to achieve high throughput because large multimedia data are transmitted such as high resolution image, audio, and video stream [ 12 ]. Therefore, reliable and efficient wireless communication should be offered between sensor and data aggregator [ 13 , 14 ].…”

Section: Introductionmentioning

confidence: 99%

Fractional Frequency Reuse Scheme for Device to Device Communication Underlaying Cellular on Wireless Multimedia Sensor Networks

Kim

Noh

et al. 2018

Sensors

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Wireless multimedia sensor networks (WMSNs) have been improved with the increase of multimedia data. In WMSNs, a centralization problem can occur because of large-size multimedia data. It is necessary to consider device-to-device (D2D) communication. We focus on D2D WMSN based on cellular networks. Sensors in the D2D WMSN can non-orthogonally use a cellular link, which is a wireless communication channel between a sensor and an aggregator, and a D2D link, which is the channel between sensors. As a result, it has more complex interference environments than an ordinary system. Therefore, it is a key factor to manage the varying inter-cell interference effectively for throughput improvement. We propose an interference mitigation scheme that can be applied to D2D WMSN. In the proposed scheme, a cell is separated into six zones and orthogonal frequency is allocated to each zone for cellular links. The frequencies allocated to cellular links are reused by D2D links of neighboring zones. The simulation results show that the throughput of the proposed scheme increases two times compared to a static frequency allocation scheme.

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A Literature Review on Correlation Clustering: Cross-disciplinary Taxonomy with Bibliometric Analysis

Wahid

Hassini

2022

Oper. Res. Forum

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Entropy-based Correlation Clustering for Wireless Sensor Networks in Multi-Correlated Regional Environments

Cited by 4 publications

References 12 publications

Entropy Correlation and Its Impacts on Data Aggregation in a Wireless Sensor Network

Entropy Correlation and Its Impacts on Data Aggregation in a Wireless Sensor Network

Fractional Frequency Reuse Scheme for Device to Device Communication Underlaying Cellular on Wireless Multimedia Sensor Networks

A Literature Review on Correlation Clustering: Cross-disciplinary Taxonomy with Bibliometric Analysis

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