Underwater wireless sensor networks (UWSNs) are the enabling technology for various underwater applications, and the interest in UWSNs is growing. Because underwater environment is usually complex and hostile, and bea...
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ISBN:
(纸本)9781479900749
Underwater wireless sensor networks (UWSNs) are the enabling technology for various underwater applications, and the interest in UWSNs is growing. Because underwater environment is usually complex and hostile, and beacons are prone to move offsetting from their origin positions and underwater channel occurs error easily. Hence, the coordinates provided by some beacons for the localization of unknown nodes are possible to be inaccurate. The positioning error of beacons will affect the accuracy of unknown nodes significantly. This paper proposes a localization algorithm for beacon error problem. The error beacons are filtered via an iteration selection process, after which the localization is executed with traditional localization algorithm, such as Centroid or Trilateration. The computation and complexity of algorithm is analyzed and is proven preferable. The simulation results suggest that this algorithm can improve the positioning accuracy effectively by the filter of error beacons.
At the National Institute of Metrology, China, the national level standard was established for calibrating the level measuring instruments widely used in the field of surveying, construction and engineering. As a key ...
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ISBN:
(纸本)9781628419009
At the National Institute of Metrology, China, the national level standard was established for calibrating the level measuring instruments widely used in the field of surveying, construction and engineering. As a key technology in the development, an auto collimation system was set up to compare the level under test with the water level. In the auto collimation system, a charge-coupled device (CCD) camera was set up to acquired the image of a light spot reflected from the water surface and the plane mirror, a composite image processing and analyzing algorithm was designed to find the exact position of the light spot in the image. This target localization algorithm consists of sub-algorithm of background de-noising, dimension transforming, and curve fitting. The experiments prove that this algorithm get resolution of 0.002 '', and repeatability of 0.01 ''.
In outdoor emergency rescue, it is of utmost importance to acquire the location of trapped people, the more quickly and precisely the location can be determined, the more chance can be saved for the victims. Taking a ...
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ISBN:
(纸本)9780769549231
In outdoor emergency rescue, it is of utmost importance to acquire the location of trapped people, the more quickly and precisely the location can be determined, the more chance can be saved for the victims. Taking a mobile phone of trapped people as a localization carrier, this work proposes a Remote Emergency localization (REL) algorithm to calculate the location of mobile phone based on Portable Base Station (PBS). The performance of REL approach is evaluated by simulation, the results show REL is efficient for outdoor emergency rescue.
Wireless sensor networks (WSN) have wide applicability to many important applications including environmental monitoring, military applications and disaster management, etc. In many applications, sensors are assumed t...
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ISBN:
(纸本)9780819473615
Wireless sensor networks (WSN) have wide applicability to many important applications including environmental monitoring, military applications and disaster management, etc. In many applications, sensors are assumed to know their absolute locations. Some localization methods of WSN have been proposed. In these methods, nodes equipped with GPS to get precise location information, namely the anchor nodes, are employed to derive the locations of other nodes. Most of the recent work focuses on increasing the accuracy in position estimation. In this paper, aiming at the high communication cost and average positioning error of DV-hop algorithm, an advanced algorithm which is called ADV-hop algorithm is proposed. Simulations are made by the network simulator NS2. The simulation results show that ADV-hop algorithm has lower communication cost and smaller average positioning error than DV-hop algorithm, which makes ADV-hop algorithm more suitable for the node location of WSN.
This paper firstly analyzes and points out the problems of the traditional DV-Hop algorithm, then proposes a node localization algorithm based on the hop distance optimization, which uses the actual path distance betw...
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ISBN:
(纸本)9798350313048
This paper firstly analyzes and points out the problems of the traditional DV-Hop algorithm, then proposes a node localization algorithm based on the hop distance optimization, which uses the actual path distance between two anchor nodes instead of the traditional linear distance to calculate the average hop distance of anchor nodes, and further calculates the average hop distance of unknown nodes with the help of multiple anchor nodes. The simulation results show that the proposed localization algorithm can effectively improve the localization accuracy of nodes, especially in the 3D outdoor environment without ranging.
This paper presents an practical RSSI based TOA ranging error model (RITEM) for localization algorithm, which can be used to estimate ranging error interval in real time. In RITEM, ranging error is classified into fou...
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ISBN:
(纸本)9781457713484
This paper presents an practical RSSI based TOA ranging error model (RITEM) for localization algorithm, which can be used to estimate ranging error interval in real time. In RITEM, ranging error is classified into four classes by the RSSI value in TOA ranging process and ranging error of each class always within a certain interval. RITEM is verified by field tests in two typical indoor environments. Then, RITEM is applied into Ranging Error Classification (REC) based TOA localization algorithm to introduce its application methodology. Experiment result indicates that REC algorithm has significantly improved performance in typical indoor environment, comparing with LS, CN-TOAG and Nano localization algorithms.
For the complex non-line-of-sight propagation environment after the disaster,propose an improved Chan-Taylor position solution method based on multiple base stations, integrate the improved residual weighting algorith...
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ISBN:
(纸本)9781665469890
For the complex non-line-of-sight propagation environment after the disaster,propose an improved Chan-Taylor position solution method based on multiple base stations, integrate the improved residual weighting algorithm with the multivariate Taylor series expansion algorithm, and perform quadratic residual weighting. Moreover, in view of the actual situation of the lack of resources after the disaster, carry out the research of localization algorithm based on single base station, add additional observations such as base station motion state information, to realize secondary weighted positioning in non-line-of-sight environment. Simulation experiments show that, improved multiple base stations and single base station location algorithms can better suppress non-line-of-sight errors, and it is of great significance to carry out location search and rescue in time after the disaster.
Wireless Sensor Networks are more and more frequently integrated into many civil and military applications. Those applications rely on the system to determine accurately the location of the sensor nodes. Most existing...
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ISBN:
(纸本)9781424443093
Wireless Sensor Networks are more and more frequently integrated into many civil and military applications. Those applications rely on the system to determine accurately the location of the sensor nodes. Most existing localization algorithms are not efficient in noisy environments and assume that the nodes are already configured appropriately for the local environment. In this paper, we propose a novel method to determine the position of the nodes in a noisy environment. The preliminary step of our solution consists of characterizing the local environment parameters. The localization step implements an iterative procedure to determine the nodes position. The numerical results derived from the simulations show the robustness of our method when compared the Concentric Anchor Beacon (CAB) algorithm, one of the most efficient techniques. We also address the computation time, as a performance metric.
The position service is becoming more and more important for WSN applications. In order to resolve the problem of low positioning accuracy in WSN, a new positioning algorithm based on virtual beacon nodes is proposed....
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ISBN:
(纸本)9783642545221;9783642545214
The position service is becoming more and more important for WSN applications. In order to resolve the problem of low positioning accuracy in WSN, a new positioning algorithm based on virtual beacon nodes is proposed. In this algorithm, the space is divided into several equal areas by anchor nodes;PIT theory is used to estimate the preliminary regional;the best virtual beacon nodes is calculated through the approach degree;finally, an unknown nodes position can be calculated by computing the centroid of the selected anchor nodes. This algorithm adopts the RF signal to locate unknown node. It can not only avoid the overlapped error in a range-based localization algorithm, but also avoid high complexity.
In recent years, the localization technology for wireless sensor network becomes an important research issue for Intelligent mine system. The calculation error of traditional RSSI-based localization algorithm may exce...
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ISBN:
(纸本)9781479929511
In recent years, the localization technology for wireless sensor network becomes an important research issue for Intelligent mine system. The calculation error of traditional RSSI-based localization algorithm may exceed 50%. This paper presents DPFI, a RSSI-based localization algorithm, which achieves higher accuracy in underground personnel localization by acquiring dynamic path-loss fading index (PFI) of wireless signals. The simulation results show that DPFI has 95th percentile positioning error within 1m, while the width of the roadway width is 30 meters. When the error range is 1m and the roadway width is 10m, DPFI also brings a 31.2% performance improvement than traditional RSSI-based algorithm.
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