Decision fusion using fuzzy threshold scheme for target detection in sensor networks

Chen, Yee Ming; Hsueh, Chi-Shun; Wang, Chu-Kai; Wu, Tai-Yi

doi:10.1016/j.jocs.2017.08.017

Cited by 6 publications

(3 citation statements)

References 19 publications

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“…Elhoseny et al [30] proposed modified genetic algorithm in combination with Bezier curve approach for path planning of mobile robots in dynamic scenario. Chen et al [31] developed global decision concept by combining local decisions during motion planning of mobile robots with sensing scheme from fuzzy threshold energy detector. Li et al [32] presented automatic roaming algorithm with Besel curve generation principle for path generation optimization process during navigation of robots.…”

Section: Introductionmentioning

confidence: 99%

Water cycle algorithm: an approach for improvement of navigational strategy of multiple humanoid robots

et al. 2021

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This paper presents an efficient water cycle algorithm based on the processes of water cycle with movement of streams and rivers in to the sea. This optimization algorithm is applied to obtain the optimal feasible path with minimum travel duration during motion planning of both single and multiple humanoid robots in both static and dynamic cluttered environments. This technique discards the rainfall process considering falling water droplets forming streams during raining and the process of flowing. The flowing process searches the solution space and finds the more accurate solution and represents the local search. Motion planning of humanoids is carried out in V-REP software. The performance of proposed algorithm is tested in experimental scenario under laboratory conditions and shows the developed algorithm performs well in terms of obtaining optimal path length and minimum time span of travel. Here, navigational analysis has been performed on both single as well as multiple humanoid robots. Statistical analysis of results obtained from both simulation and experimental environments is carried out for both single and multiple humanoids, along with the comparison with another existing optimization technique that indicate the strength and effectiveness of the proposed water cycle algorithm.

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Section: Introductionmentioning

confidence: 99%

Water cycle algorithm: an approach for improvement of navigational strategy of multiple humanoid robots

et al. 2021

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“…However, this algorithm was carried out in a simple manner and specialized to find out only the centers of output MSF without dealing with the inputs MSF and the obtained results are only compared with passive suspension system model. Although the fuzzy systems give good performances for specific applications under certain particular properties, but under the general fuzzy framework it has some kind of drawbacks and uncertainties which are not easy to handle [20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Bounded Interval Fuzzy Control for Half Vehicle’s Active Suspension System

AL-Jarrah*¹,

Tlilan²,

Al-Jarrah³

2019

IJRTE

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A novel efficient control scheme for an active vehicle suspension system is to be designed and simulated in this paper. A half car model has been designed and controlled using two different schemes of standard fuzzy control and bounded interval fuzzy control using MATLAB/SIMULINK. The bounded interval fuzzy control is designed to reduce the uncertainties in the fuzzy sets system and solve the non-linear control problem that the standard fuzzy control cannot handle it. It should be noted that fuzzy logic system is capable of dealing with imprecise concepts and numerous vague but the design of membership functions is nontrivial task. This is because of uncertainty degree that is caused due to road inputs profiles, fuzzy knowledge rules and immeasurable disturbance. The proposed method is expected to be able to mimic the heuristic knowledge of design the membership functions which depends on degree of uncertainty. The membership functions will be generated online during the process in order to deal with uncertainties. The simulation results have demonstrated that the proposed control exhibits better performance and stability as compared to standard fuzzy logic. In addition, the proposed scheme presents a preferable solution and balancing achievement between ride comfort and handling performance. These results demonstrated that the body accelerations and tire dynamic loads will be reduced for the vehicle suspension system in either automobiles or robotics suspension systems.

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“…As the application of a detection threshold, much of the information contained in the signal is discarded. Even with a fuzzy threshold [2], the information contained in the signal cannot be fully used. Track‐before‐detect (TBD) algorithm has been proposed for joint detection and tracking of dim targets, where the signal‐to‐clutter ratio (SCR) is low.…”

Section: Introductionmentioning

confidence: 99%

Data level moving target detection algorithm based on B‐RFS

Shen

Song

Fan

et al. 2018

IET signal process.

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Under low signal-to-clutter ratio (SCR) condition, the detection performance of traditional detection algorithm that detected in the signal level is poor, especially for moving the target. In this study, a new detection idea to detect in the data level is presented to improve the detection performance under low SCR condition. The new detection algorithm directly processes the measurement set generated by pre-processing. On the basis of a binary hypothesis and the Bernoulli random finite set (B-RFS), the authors proposed a B-RFS detector, in which the probability of existence of target is treated as a test statistic of the binary hypothesis. As the information of multi-frame is used, the detection performance will be better than the traditional detection algorithm. If the presence of the target is determined by the detector, they can obtain the estimation of the target state. The simulation results show that the proposed algorithm has better performance than traditional detection algorithm, and the performance of the algorithm is better with the increase of the processing time. Furthermore, the estimation of the target state is close to the true target state. As the proposed algorithm is detected in the data level, it can be applied to a variety of sensors.

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Decision fusion using fuzzy threshold scheme for target detection in sensor networks

Cited by 6 publications

References 19 publications

Water cycle algorithm: an approach for improvement of navigational strategy of multiple humanoid robots

Water cycle algorithm: an approach for improvement of navigational strategy of multiple humanoid robots

Bounded Interval Fuzzy Control for Half Vehicle’s Active Suspension System

Data level moving target detection algorithm based on B‐RFS

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