• Title/Summary/Keyword: Wireless Location

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Loop Cancellation and Path Optimization of Path Extension Handover in a Wireless ATM LAN (무선 ATM LAN 환경에서 경로 확장 기법의 루프 제거 및 경로 최적화 알고리즘 연구)

  • 최우진;박영근
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.25 no.5A
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    • pp.602-610
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    • 2000
  • There has been increasing interest in broadband services to mobile terminals. Wireless ATM will be used to support broadband services for future generation mobile service. We propose an algorithm for handover in wireless ATM LANs. We have studied how to treat the loop cancellation and optimization of path extension handover scheme, and present path optimization algorithms : polyangular loop cancellation and triangular loop cancellation. We express the location of MT(mobile terminal) by direction angle, and the direction angles can be converted into direction vectors. Using direction vectors, we can find the current optimal path of MT. The analysis and the experimental results show that the proposed scheme provides the better performance than that of anchor rerouting scheme in average handover delay, handover disruption delay, and buffer requirements.

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Improved DV-Hop Localization Algorithm Based on Bat Algorithm in Wireless Sensor Networks

  • Liu, Yuan;Chen, Junjie;Xu, Zhenfeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.1
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    • pp.215-236
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    • 2017
  • Obtaining accurate location information is important in practical applications of wireless sensor networks (WSNs). The distance vector hop (DV-Hop) is a frequently-used range-free localization algorithm in WSNs, but it has low localization accuracy. Moreover, despite various improvements to DV-Hop-based localization algorithms, maintaining a balance between high localization accuracy and good stability and convergence is still a challenge. To overcome these shortcomings, we proposed an improved DV-Hop localization algorithm based on the bat algorithm (IBDV-Hop) for WSNs. The IBDV-Hop algorithm incorporates optimization methods that enhance the accuracy of the average hop distance and fitness function. We also introduce a nonlinear dynamic inertial weight strategy to extend the global search scope and increase the local search accuracy. Moreover, we develop an updated solutions strategy that avoids premature convergence by the IBDV-Hop algorithm. Both theoretical analysis and simulation results show that the IBDV-Hop algorithm achieves higher localization accuracy than the original DV-Hop algorithm and other improved algorithms. The IBDV-Hop algorithm also exhibits good stability, search capability and convergence, and it requires little additional time complexity and energy consumption.

A Localization Algorithm for Underwater Wireless Sensor Networks Based on Ranging Correction and Inertial Coordination

  • Guo, Ying;Kang, Xiaoyue;Han, Qinghe;Wang, Jingjing
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.10
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    • pp.4971-4987
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    • 2019
  • Node localization is the basic task of underwater wireless sensor networks (UWSNs). Most of the existing underwater localization methods rely on ranging accuracy. Due to the special environment conditions in the ocean, beacon nodes are difficult to deploy accurately. The narrow bandwidth and high delay of the underwater acoustic communication channel lead to large errors. In order to reduce the ranging error and improve the positioning accuracy, we propose a localization algorithm based on ranging correction and inertial coordination. The algorithm can be divided into two parts, Range Correction based Localization algorithm (RCL) and Inertial Coordination based Localization algorithm (ICL). RCL uses the geometric relationship between the node positions to correct the ranging error and obtain the exact node position. However, when the unknown node deviates from the deployment area with the movement of the water flow, it cannot communicate with enough beacon nodes in a certain period of time. In this case, the node uses ICL algorithm to combine position data with motion information of neighbor nodes to update its position. The simulation results show that the proposed algorithm greatly improves the positioning accuracy of unknown nodes compared with the existing localization methods.

Direction of Policy for Wireless Power Transmission Industry to Adapt Changes of the Future (미래에 대응하기 위한 국내 무선전력전송 산업방향 정책제언)

  • Yun, Jae-hoon
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.26 no.8
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    • pp.699-709
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    • 2015
  • The role of wireless power transmission(WPT) on the information communication technology and the re-set location of WPT technology in the hype cycle to apply the recent trend of market and industry are presented in this paper. We describe the need of national strategy to change from the phase of industry promote to the phase of industry revitalization. The relation between the management of spectrum and electromagnetic environment is analysed in the view point of physics. We also propose the direction of policy for industry revitalization adapted the world changing circumstance.

Omnidirectional Resonator in Three-Dimensional using a Globular Structure for Wireless Power Transfer (공 모양의 구조를 이용한 무선 전력 전송용 3차원 전 방향 공진기)

  • Kim, Donggeon;Seo, Chulhun
    • Journal of the Institute of Electronics and Information Engineers
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    • v.53 no.1
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    • pp.22-26
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    • 2016
  • In this paper, using the globular structure designed and implemented for the transmitter and the receiver resonant wireless power transfer(WPT). The coil of the transmitter was proposed to emit a magnetic energy in three-dimensional space by winding a ball shape. Each side of the transmitter has been designed to obtain a high Q value by a spiral structure. This solves the problem that the transfer efficiency decreases rapidly depending on the location in the conventional WPT. The resonance frequency is used 6.78 MHz and the distance between the trasnitter and the receiver is 200 mm. The transfer efficiency of the proposed WPT system is higher than 40% at all direction.

Hole Modeling and Detour Scheme for Geographic Routing in Wireless Sensor Networks

  • Yu, Fucai;Park, Soo-Chang;Lee, Eui-Sin;Kim, Sang-Ha
    • Journal of Communications and Networks
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    • v.11 no.4
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    • pp.327-336
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    • 2009
  • Geographic routing has been considered as an attractive approach in wireless sensor networks, since it routes data packets by using location information rather than global topology information. In geographic routing schemes, packets are usually sent along the boundary of a hole by face routing to detour the hole. As result, all data flows which need to detour the hole are concentrated on the boundary of the hole. This hole detour scheme results in much more energy consumption for nodes at the hole boundary, and the energy exhaustion of hole boundary nodes enlarges the holes. This is referred to as a hole diffusion problem. The perimeter mode may also lead to data collisions on the hole boundary nodes if multiple data flows need to bypass a hole simultaneously. In this paper, we propose a hole modeling and detour scheme for geographic routing in wire-less sensor networks. Our hole modeling and detour scheme can efficiently prevent hole diffusion, avoid the local minimum problem faced by geographic routing protocols, and reduce data collisions on the hole boundary nodes. Simulation results show that the proposed scheme is superior to the other protocols in terms of control overhead, average delivery delay and energy consumption.

Supervised-learning-based algorithm for color image compression

  • Liu, Xue-Dong;Wang, Meng-Yue;Sa, Ji-Ming
    • ETRI Journal
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    • v.42 no.2
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    • pp.258-271
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    • 2020
  • A correlation exists between luminance samples and chrominance samples of a color image. It is beneficial to exploit such interchannel redundancy for color image compression. We propose an algorithm that predicts chrominance components Cb and Cr from the luminance component Y. The prediction model is trained by supervised learning with Laplacian-regularized least squares to minimize the total prediction error. Kernel principal component analysis mapping, which reduces computational complexity, is implemented on the same point set at both the encoder and decoder to ensure that predictions are identical at both the ends without signaling extra location information. In addition, chrominance subsampling and entropy coding for model parameters are adopted to further reduce the bit rate. Finally, luminance information and model parameters are stored for image reconstruction. Experimental results show the performance superiority of the proposed algorithm over its predecessor and JPEG, and even over JPEG-XR. The compensation version with the chrominance difference of the proposed algorithm performs close to and even better than JPEG2000 in some cases.

Adaptive Wireless Localization Filter Containing NLOS Error Mitigation Function

  • Cho, Seong Yun
    • Journal of Positioning, Navigation, and Timing
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    • v.5 no.1
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    • pp.1-9
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    • 2016
  • Range-based wireless localization system must measure accurate range between a mobile node (MN) and reference nodes. However, non-line-of-sight (NLOS) error caused by the spatial structures disturbs the localization system obtaining the accurate range measurements. Localization methods using the range measurements including NLOS error yield large localization error. But filter-based localization methods can provide comparatively accurate location solution. Motivated by the accuracy of the filter-based localization method, a filter residual-based NLOS error estimation method is presented in this paper. Range measurement-based residual contains NLOS error. By considering this factor with NLOS error properties, NLOS error is mitigated. Also a process noise covariance matrix tuning method is presented to reduce the time-delay estimation error caused by the single dynamic model-based filter when the speed or moving direction of a MN changes, that is the used dynamic model is not fit the current dynamic of a MN. The presented methods are evaluated by simulation allowing direct comparison between different localization methods. The simulation results show that the presented filter is more accurate than the iterative least squares- and extended Kalman filter-based localization methods.

Real-time 3-Dimensional Measurement of Lumbar Spine Range of Motion using a Wireless Sensor (무선 센서를 활용한 요추 가동 범위의 실시간 3차원 측정)

  • Jeong, Woo-Hyuk;Jee, Hae-Mi;Park, Jae-Hyun
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.8
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    • pp.713-718
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    • 2012
  • Lumber spine range of motion has been used to measure of physical and functional impairment by various tools from a ruler to 3D kinematic devices. However, pre-existing tools have problems in either movement or accuracy and reliability limitations. Accurate devices are limited by fixed space whereas simple devices are limited in measuring complex movements with less accuracy. In order to solve the location, movement and accuracy limitations at once, we have developed a novice measurement device equipped with accelerometer sensor and gyroscope sensor for getting three-dimensional information of motion. Furthermore, Kalman filter was applied to the algorithm to improve accuracy. In addition, RF wireless communication was added for the user to conveniently check measured data in real time. Finally, the measurement method was improved by considering the movement by a reference point. An experiment was conducted to test the accuracy and reliability of the device by conducting a test-retest reliability test. Further modification will be conducted to used the device in various joints range of motion in clinical settings in the future.

Localization Method in Wireless Sensor Networks using Fuzzy Modeling and Genetic Algorithm (퍼지 모델링과 유전자 알고리즘을 이용한 무선 센서 네트워크에서 위치추정)

  • Yun, Suk-Hyun;Lee, Jae-Hun;Chung, Woo-Yong;Kim, Eun-Tai
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.4
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    • pp.530-536
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    • 2008
  • Localization is one of the fundamental problems in wireless sensor networks (WSNs) that forms the basis for many location-aware applications. Localization in WSNs is to determine the position of node based on the known positions of several nodes. Most of previous localization method use triangulation or multilateration based on the angle of arrival (AOA) or distance measurements. In this paper, we propose an enhanced centroid localization method based on edge weights of adjacent nodes using fuzzy modeling and genetic algorithm when node connectivities are known. The simulation results shows that our proposed centroid method is more accurate than the simple centroid method using connectivity only.