Node localisation for wireless sensor networks in smart distribution automation

Li, Ké; He, Wei; Zhang, Zhanlong; Zhou, Qiang

doi:10.1504/ijsnet.2017.080600

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…The design and construction of the lane vehicle navigation system experimental platform is the basis for the study of the vision aided navigation system (Xu et al, 2017). Its ultimate goal is to realise the navigation function of the lane vehicle in the natural environment when carrying out marine operations (Li et al, 2017). The experimental platform designed in this paper is mainly aimed at realising the navigation function of the vision aided navigation system and laying the foundation for further research and experiment of the navigation system of the lane vehicle.…”

Section: Preliminariesmentioning

confidence: 99%

Application of vision aided strapdown integrated navigation in lane vehicles

Wang

Yang

2020

IJES

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The application of global navigation satellite system (GNSS) is extensive in lane applications with the development of science and technology. Vision aided strapdown integrated navigation is an effective aided-navigation method in the case of GNSS failure in lane vehicles, which plays an important role in realising high-precision navigation of lane navigation system. A vision-aided navigation system based on GNSS positioning is constructed using the electrical powered platform as the research object. The hardware platform of vision navigation system is presented and digital image processing is used to segment the collected lane image. The image pre-processing operation, including denoising filtering and greyscale processing, is carried out to complete the segmentation and get the effective navigation area. According to the effective area of navigation, a navigation datum line is extracted by the least squares linear fitting and Hough transform. According to the camera imaging model and the camera's internal and external parameters, the navigation datum line in the image coordinates is transformed into the world coordinates, and the heading angle is calculated. Kalman filter algorithm is used to fuse the navigation parameters of the vision navigation module and the GNSS positioning module, and the integrated navigation model is established.

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Section: Preliminariesmentioning

confidence: 99%

Application of vision aided strapdown integrated navigation in lane vehicles

Wang

Yang

2020

IJES

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Difference-Comparison-based Malicious Meter Inspection in Neighborhood Area Networks in Smart Grid

Xia

Liang

Xiao

et al. 2017

The Computer Journal

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As the smart meters are vulnerable to physical attacks as well as cyber attacks, electricity theft in smart grids is much easier to commit and more difficult to detect than that in traditional power grids. In this paper, to facilitate the inspection of the malicious meters, a full and complete binary inspection tree whose leaves stand for smart meters is employed as a logical structure. We can logically configure an inspector (a meter for detection) at any node on the tree. By calculating the difference between the inspector's reading and the summation of the readings reported from the smart meters on the subtree of one node, as well as the difference between the total amount of stolen electricity on the subtrees of an internal node and its left child, we propose a difference-comparison-based inspection algorithm which allows the inspector to skip a large number of nodes on the tree and hence accelerates the detection speed of the malicious meters remarkably. Furthermore, for quickly identifying a complete set of malicious meters, we propose an adaptive reporting mechanism which adopts much shorter reporting periods during the inspection process. Analysis with proofs about the performance bounds of the proposed algorithm in terms of the number of inspection steps is provided. Simulations not only validate the theoretical analysis, but also show the superiority of the proposed algorithm over the existing works in terms of inspection steps, regardless of the ratio and the permutation of malicious meters.

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