Moving Target Detection Based On Global Motion Estimation In Dynamic Environment

Gao, Junchai; Liu, Mingyong; Xu, Fei

doi:10.21307/ijssis-2017-660

Cited by 6 publications

(4 citation statements)

References 23 publications

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“…We use in our proposed approach a similar radio model as presented in [5,6,7] [13] and d is the distance between the sender and the receiver, the energy dissipate by the radio is given by:…”

Section: Network Communication Modelmentioning

confidence: 99%

“…We use in our proposed approach a similar radio model as presented in [5,6,7] to calculate the energy consumption of the LEACH protocol. In this radio model, is the energy dissipated per bit to run the transmitter or the receiver circuit, depending on the transmission distances both the free space and the multi-path fading are used for the transmitter amplifier [7][8] [9][10] [11][12][13] and d is the distance between the sender and the receiver, the energy dissipate by the radio is given by:…”

Section: Network Communication Modelmentioning

confidence: 99%

“…In the past years, a many researches that address the potential of collaboration among sensor nodes in data collecting and processing and in the management of sensing activity was conducted [4] [5]. However, sensor nodes are constrained in energy supply and coverage.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Sefp: A New Routing Approach Using Fuzzy Logic For Clustered Heterogeneous Wireless Sensor Networks

Alami

Najid

2015

International Journal on Smart Sensing and Intelligent Systems

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Wireless sensor networks (WSNs) are composed of set sensor nodes communicating through wireless channels with limited resources. Therefore, several routing protocols and approaches about energy efficient operation of WSNs have been proposed. Clustering algorithm based routing protocols are well used for efficient management of sensing sensor node energy resources. However, many researches were focused on optimization of well-known hierarchical routing approaches of WSNs using fuzzy logic system or heuristic methods. Most of these routing approaches haven't considered the impact of heterogeneity of sensor nodes, in terms of their energy which is equipped with additional energy resources. In this paper, we propose stable election using three fuzzy parameters approach (SEFP) using fuzzy logic system for heterogeneous WSNs. The main purpose of this routing approach is to improve the network lifetime and particularly the stability period of the network. In the SEFP approach, the sensor node with the maximum chance value becomes a cluster head (CH) based in three fuzzy parameters such as residual energy of each sensor node, closeness to base station (BS), and sum of distances between particular sensor node and other sensor nodes (area distance). The Simulation results of heterogeneous WSNs shows that our approach using fuzzy logic system always preserves more energy as compared to well-known protocols such as LEACH and SEP. additionally, we found that our approach SEFP outperforms LEACH and SEP protocols in prolonging the lifetime and the stability period for heterogeneous WSNs.

show abstract

Section: Network Communication Modelmentioning

confidence: 99%

Section: Network Communication Modelmentioning

confidence: 99%

See 1 more Smart Citation

Sefp: A New Routing Approach Using Fuzzy Logic For Clustered Heterogeneous Wireless Sensor Networks

Alami

Najid

2015

International Journal on Smart Sensing and Intelligent Systems

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show abstract

“…In this way, the sensors system can obtain p+q evidences, q is the number of relevance evidence. And in practice, the relevance evidence is more important than a single point of evidence, it can greatly improve the efficiency of the use of multi-source data [23].…”

Section: A Data Correlation and Evidence Reasoning Analysismentioning

confidence: 99%

Research On Underwater Target Signal Detection And Recognition Processing Algorithm

Wang

Liu

2014

International Journal on Smart Sensing and Intelligent Systems

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Practical application of underwater target echo signal usually get disturbed a Gaussian noise and non-Gaussian noise, in view of the signal recognition problem, this paper proposes a double spectrum analysis based on wavelet transform domain method of weak signal and D-S data fusion algorithm. Through the study of double spectrum of the wavelet transform domain analysis to the signal processing algorithm, the characteristics of the target signal and noise source signal, a processing method of underwater target signal de-noising was presented. For multiple underwater target recognition, the model of underwater target multi-sensor signal recognition was studied. On the basis of analyzing the principle of D-S method and the fusion of multiple signal recognition, the concrete measures of D-S data fusion reasoning was researched and analyzed. By using the combination of simulation calculation and experiment measures, the results show the signal processing method is correct.

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A Dynamic Bioinspired Neural Network Based Real-Time Path Planning Method for Autonomous Underwater Vehicles

Shi

et al. 2017

Computational Intelligence and Neuroscience

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Real-time path planning for autonomous underwater vehicle (AUV) is a very difficult and challenging task. Bioinspired neural network (BINN) has been used to deal with this problem for its many distinct advantages: that is, no learning process is needed and realization is also easy. However, there are some shortcomings when BINN is applied to AUV path planning in a three-dimensional (3D) unknown environment, including complex computing problem when the environment is very large and repeated path problem when the size of obstacles is bigger than the detection range of sensors. To deal with these problems, an improved dynamic BINN is proposed in this paper. In this proposed method, the AUV is regarded as the core of the BINN and the size of the BINN is based on the detection range of sensors. Then the BINN will move with the AUV and the computing could be reduced. A virtual target is proposed in the path planning method to ensure that the AUV can move to the real target effectively and avoid big-size obstacles automatically. Furthermore, a target attractor concept is introduced to improve the computing efficiency of neural activities. Finally, some experiments are conducted under various 3D underwater environments. The experimental results show that the proposed BINN based method can deal with the real-time path planning problem for AUV efficiently.

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Moving Target Detection Based On Global Motion Estimation In Dynamic Environment

Cited by 6 publications

References 23 publications

Sefp: A New Routing Approach Using Fuzzy Logic For Clustered Heterogeneous Wireless Sensor Networks

Sefp: A New Routing Approach Using Fuzzy Logic For Clustered Heterogeneous Wireless Sensor Networks

Research On Underwater Target Signal Detection And Recognition Processing Algorithm

A Dynamic Bioinspired Neural Network Based Real-Time Path Planning Method for Autonomous Underwater Vehicles

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