Opportunistic Sensing in Wireless Sensor Networks: Theory and Application

Liang, Qilian; Cheng, Xiuzhen; Huang, Scott C.-H.; Chen, Dechang

doi:10.1109/tc.2013.85

Cited by 90 publications

(57 citation statements)

References 24 publications

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“…D (1) , D (2) ∈ R mn × mn are mn × mn gradient matrices in the vertical and horizontal directions, and we have…”

Section: Nonlocal Total Variationmentioning

confidence: 99%

“…With the rapid development of wireless sensor networks, there are higher requirements for signal transmission and processing [1][2][3][4]. However, for such a twodimensional image signal, it is inevitably degraded in the process of image acquisition, transmission and processing, and image restoration techniques are needed to improve the quality of the obtained image.…”

Section: Introductionmentioning

confidence: 99%

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A novel local and nonlocal total variation combination method for image restoration in wireless sensor networks

Shi

Liang²

2017

J Wireless Com Network

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In this paper, we propose a novel local and nonlocal total variation combination method for image restoration in wireless sensor networks (WSN), which plays an important role in improving the quality of the transmitted image. First, the degrade image is preprocessed by an image smoothing scheme to divide the image into two regions. One contains edges and flat regions by the local TV term. The other is rich in image details and regularized by the nonlocal TV term. Then, the alternating direction method of multipliers (ADMM) algorithm is adopted to optimize the complex object function, and two key parameters are discussed for better performance. Finally, we compare our method with several recent state-of-the-art methods and illustrate the efficiency and performance of the proposed model by experimental results in peak signal to noise ratio (PSNR) and computing time.

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“…D (1) , D (2) ∈ R mn × mn are mn × mn gradient matrices in the vertical and horizontal directions, and we have…”

Section: Nonlocal Total Variationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel local and nonlocal total variation combination method for image restoration in wireless sensor networks

Shi

Liang²

2017

J Wireless Com Network

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“…After choosing a food source, an onlooker bee produces a modification following (2). Then, a greedy selection is performed between the newly produced solution and the old one, and the winner survives as at employed bee phase.…”

Section: Standard Artificial Bee Colony and State-of-the-art Variantsmentioning

confidence: 99%

“…In standard ABC, both employed bees and onlooker bees use the same search equation (2). This formula could not fully reflect the behavior of onlooker bees.…”

Section: Standard Artificial Bee Colony and State-of-the-art Variantsmentioning

confidence: 99%

“…Waveform design and diversity is the technology that allows one or more sensors (e.g., radar or radar sensor networks) on board a platform to automatically change operating parameters, e.g., frequency, gain pattern, and pulse repetition frequency (PRF), to meet the varying environments [1,2]. It has long been recognized that judicious use of properly designed waveforms, coupled with advanced receiver strategies, is fundamental to fully utilize the capacity of the electromagnetic spectrum.…”

Section: Introductionmentioning

confidence: 99%

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A study of artificial bee colony variants for radar waveform design

Xiu

2016

J Wireless Com Network

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Waveform design and diversity is the technology that allows one or more sensors (e.g., radar or radar sensor networks) on board a platform to automatically change operating parameters, e.g., frequency, gain pattern, and pulse repetition frequency, to meet the varying environments. Optimization problems in the design of radar waveforms such as polyphase code design often bring troubles to designers. This paper proposes to hybridize the migration operator of biogeography-based optimization (BBO) approach with artificial bee colony (ABC) algorithm. Migration operator is able to promote information exchange of solutions in bee colony. This is useful for exploiting good information of searched solutions. Moreover, three state-of-the-art ABC variants are taken for study. A spread spectrum polyphase code design problem is chosen for experiment. The proposed ABCBBO algorithm as well as three state-of-the-art ABC algorithms are applied to solve polyphase code design. Results show that ABCBBO presents the overall best performance amongst the test algorithms. It is also the most reliable one.

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