A green data transmission mechanism for wireless multimedia sensor networks using information fusion

Zhang, Zhen Jiang; Lai, Chin Feng; Chao, Han Chieh

doi:10.1109/mwc.2014.6882291

Cited by 45 publications

(25 citation statements)

References 13 publications

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“…Furthermore, due to the high amount of raw data collected by users, the possibility of implementing mechanisms based on information fusion [28] will be considered, with the aims of both decreasing the amount of data stored/transmitted and improving the classification process.…”

Section: Conclusion and Further Workmentioning

confidence: 99%

Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data

Rodríguez

Barrera-Animas

Trejo

et al. 2016

Sensors

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This study introduces the One-Class K-means with Randomly-projected features Algorithm (OCKRA). OCKRA is an ensemble of one-class classifiers built over multiple projections of a dataset according to random feature subsets. Algorithms found in the literature spread over a wide range of applications where ensembles of one-class classifiers have been satisfactorily applied; however, none is oriented to the area under our study: personal risk detection. OCKRA has been designed with the aim of improving the detection performance in the problem posed by the Personal RIsk DEtection(PRIDE) dataset. PRIDE was built based on 23 test subjects, where the data for each user were captured using a set of sensors embedded in a wearable band. The performance of OCKRA was compared against support vector machine and three versions of the Parzen window classifier. On average, experimental results show that OCKRA outperformed the other classifiers for at least 0.53% of the area under the curve (AUC). In addition, OCKRA achieved an AUC above 90% for more than 57% of the users.

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Section: Conclusion and Further Workmentioning

confidence: 99%

Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data

Rodríguez

Barrera-Animas

Trejo

et al. 2016

Sensors

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“…Designing schemes for secure wireless transmissions is a challenging task in telecommunications [1], even in the case of advanced applications like smart grids [2] and green data transmissions [3]. Two trends are prevalent in this context: using classical cryptographic solutions, and exploiting the emerging paradigm of physical layer security (PLS) [4].…”

Section: Introductionmentioning

confidence: 99%

Semantic Security with Practical Transmission Schemes over Fading Wiretap Channels

Senigagliesi

Baldi

Chiaraluce

2017

Entropy

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Abstract:We propose and assess an on-off protocol for communication over wireless wiretap channels with security at the physical layer. By taking advantage of suitable cryptographic primitives, the protocol we propose allows two legitimate parties to exchange confidential messages with some chosen level of semantic security against passive eavesdroppers, and without needing either pre-shared secret keys or public keys. The proposed method leverages the noisy and fading nature of the channel and exploits coding and all-or-nothing transforms to achieve the desired level of semantic security. We show that the use of fake packets in place of skipped transmissions during low channel quality periods yields significant advantages in terms of time needed to complete transmission of a secret message. Numerical examples are provided considering coding and modulation schemes included in the WiMax standard, thus showing that the proposed approach is feasible even with existing practical devices.

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“…In 2013, the method for adaptive fusion of multimodal surveillance images based on Non-Subsampled Contourlet Transform (NSCT) was proposed by D Egfin Nirmala, which uses Compression Sensing (CS) technology to reduce redundant information so as to decrease energy consumption and bandwidth [1]. In 2014, an information fusion mechanism based on granularity of information was proposed by Z J Zhang, which greatly reduces the transmission data volume and energy consumption [2]. In 2015, a multi-component image fusion method based on Morphological Component Analysis (MCA) in WMSN was proposed, which reduces the amount of image transmission by effectively decomposing the visible image into smooth and texture components [3].…”

Section: Introductionmentioning

confidence: 99%

Study on Effective Transmission Scheme Based on Fountain Codes in Wireless Multimedia Sensor Network

Yao

et al. 2017

Proceedings of the 3rd International Conference on Wireless Communication and Sensor Networks (WCSN 2016)

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Abstract-Wireless Multimedia Sensor Network (WMSN) achieves the multimedia information from the distributed sensor nodes. In this paper, we design a transmission scheme to ensure the efficient and reliable data transmission in WMSN. Firstly, LT codes are employed as the channel coding. A method is proposed to optimize the degree distribution for LT codes based on Binary Exponential Distribution (BED) and Bird Swarm Algorithm (BSA) to improve both the decoding efficiency and successful decoding rate. Moreover, aiming at the spatial and temporal redundancy of the node information, we try to study the cooperative information processing method with distributed compressed sensing and image fusion to improve the efficiency of data transmission and the quality of the images. Simulation results show that the proposed transmission scheme can solve the bottleneck problem of the efficient and reliable transmission in the WMSN.

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A green data transmission mechanism for wireless multimedia sensor networks using information fusion

Cited by 45 publications

References 13 publications

Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data

Ensemble of One-Class Classifiers for Personal Risk Detection Based on Wearable Sensor Data

Semantic Security with Practical Transmission Schemes over Fading Wiretap Channels

Study on Effective Transmission Scheme Based on Fountain Codes in Wireless Multimedia Sensor Network

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