For the node location of wireless sensor network (WSN), the apit algorithm depends on a range-free and area-related positioning strategy to be widely used. Against the target location deviation of the apit algorithm, ...
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ISBN:
(纸本)9781509048601
For the node location of wireless sensor network (WSN), the apit algorithm depends on a range-free and area-related positioning strategy to be widely used. Against the target location deviation of the apit algorithm, this paper mainly implements relevant optimization and improvement. Firstly, the frequency difference is utilized to determine the distance between two WSN nodes, and the environment effect for ranging is lessened;the triangle area is adopted to judge the relationship between the destination node and the triangle, and the misjudgment is reduced;the case with less beacon nodes is discussed to estimate the target node coordinate, and the localization category is enlarged;the triangle barycenter detection is used to estimate the destination node coordinate, and the algorithm efficiency is increased. As a result, an improved apit algorithm is systematacially developed. Finally, a MATLAB simulation experiment is conducted, and its results show that the new algorithm improves both the accuracy ratio and coverage rate of the target node positioning.
Wireless sensor networks (WSN), as a new method of information collection and processing, has a wide range of applications. Since the acquired data must be bound with the location information of sensor nodes, the sens...
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Wireless sensor networks (WSN), as a new method of information collection and processing, has a wide range of applications. Since the acquired data must be bound with the location information of sensor nodes, the sensor localization is one of the supporting technologies of wireless sensor networks. However, the common localization algorithms, such as apit algorithm and DV-Hop algorithm, have the following problems: 1) the low localization accuracy of beacon nodes;2) the low coverage rate in sparse environment. In this paper, we combine apit algorithm and DV-Hop algorithm to design an enhanced hybrid 3D localization algorithm, which can improve the localization accuracy with a high coverage rate. The proposed hybrid algorithm can reduce the triangles in the triangle interior point test (PIT) and select good triangles to improve the localization accuracy of the beacon nodes in dense environments in dense environments. In addition, the algorithm can combine the advantages of apit algorithm and DV-Hop algorithm localization algorithm to calculate the unknown node coordinates, and the location coverage of the beacon nodes in sparse environment can also be improved. Simulation results show that the proposed hybrid algorithm can effectively improve the localization accuracy of beacon nodes in the dense environment and the location coverage of beacon nodes in sparse environment.
The research of positioning algorithm is an important work in wireless sensor *** In general the positioning algorithm of wireless sensor network can be divided into the positioning algorithm based on range and *** pa...
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The research of positioning algorithm is an important work in wireless sensor *** In general the positioning algorithm of wireless sensor network can be divided into the positioning algorithm based on range and *** paper adopts R-A hybrid localization algorithm combining with the advantages and disadvantages of weighted maximum likelihood estimation algorithm based on RSSI and apit *** the complementary characteristics of the localization algorithm based on range and range-free to complement each other and the positioning error of unknown nodes is reduced effectively.
at present, many algorithms are presented, and apit algorithm (Approximate Point-in-triangulation Test) is a kind of range-free localization, which has a relatively high precision and stable performance. However, the ...
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ISBN:
(纸本)9780769538921
at present, many algorithms are presented, and apit algorithm (Approximate Point-in-triangulation Test) is a kind of range-free localization, which has a relatively high precision and stable performance. However, the coverage rate of apit algorithm is somewhat poor. With regards to this, this paper proposes an improved method which can convert those unknown nodes that can be located firstly to new anchor nodes, and then to participate in the next localization. Meanwhile, a localization method based on two anchor nodes and regional estimate method are proposed. Simulation results prove its validity.
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