Touchless human-computer interfaces are possible using wireless position sensors with sufficient positioning accuracy. The proposed locating system is composed of a set of beacons that emit a sequence of ultra-acousti...
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ISBN:
(纸本)9781467345613
Touchless human-computer interfaces are possible using wireless position sensors with sufficient positioning accuracy. The proposed locating system is composed of a set of beacons that emit a sequence of ultra-acoustic pulses in the space region containing a number of wireless position sensors. The prototype has four coplanar beacons, placed at the corners of a PC screen, which are forced to emit chirp signals in the 20-48 kHz band. Each battery-supplied sensor is equipped with a wideband miniature microphone, a conditioning circuitry and an infrared transmitter. When impinged by the sequence of acoustic wavefronts, each sensor sends back a signal to a central unit through an infrared optical transmission channel. The central unit preprocesses the received signals using the correlation technique, and obtains the times of arrival of the sensors' signals. Knowing the position of the acoustic beacons, the central unit computes the coordinates of the sensors, identifying and discarding possible false signals due to echoes and environmental noise. All the computations, including signal filtering, time of arrival detection, localization and results display, are carried out by a notebook PC at 25 Hz.
Currently, in Wireless Sensor Networks (WSNs), the main idea in most localization algorithms has been that a mobile anchor node, e. g., GPS-equipped (Global Positioning System) nodes, broadcasts its coordinates to loc...
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ISBN:
(纸本)9781424492688
Currently, in Wireless Sensor Networks (WSNs), the main idea in most localization algorithms has been that a mobile anchor node, e. g., GPS-equipped (Global Positioning System) nodes, broadcasts its coordinates to locate unknown nodes. In this case, a basic problem is the path planning of the mobile anchor node which should move along the trajectory to minimize the localization error and locate the unknown nodes. In this paper, we propose a localization algorithm with a Mobile Anchor node based on Trilateration (LMAT). LMAT algorithm uses a mobile anchor node to move according to the equilateral triangle trajectory in deployment area. Simulation results show that the performance of our LMAT algorithm is better than that of other similar algorithms, e. g., SPIRAL, SCAN, DOUBLE SCAN and HILBERT algorithms.
localization is a vital foundation work in Wireless Sensor Network (WSN). Almost all of location algorithms at present need the position information of reference nodes to locate the unknown nodes. But most of algorith...
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ISBN:
(纸本)9783037850978
localization is a vital foundation work in Wireless Sensor Network (WSN). Almost all of location algorithms at present need the position information of reference nodes to locate the unknown nodes. But most of algorithms assume an idealistic radio propagation model that is far from the reality. This will lead to obvious difference compared with real localization of WSN. In this paper we investigate the impact of radio irregularity on the localization algorithms performance in WSN. We introduce the Radio Irregularity Model (RIM) which is established upon empirical data. With this model, this paper analyzes the impact of radio irregularity on localization algorithms. We compare three typical coarse-grained localization algorithms: APIT, Centroid and DV-HOP in simulated realistic settings. Our experimental results show that radio irregularity has a significant impact on some main evaluation aspects of localization algorithms. Some interesting phenomena is worthy of further study.
This paper describes the principle of passive sound localization and sound localization algorithm based on a four-element array example discussed in the wind for positioning of the passive voice, and to amend their wa...
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ISBN:
(纸本)9783037850176
This paper describes the principle of passive sound localization and sound localization algorithm based on a four-element array example discussed in the wind for positioning of the passive voice, and to amend their ways, this paper focuses on the measurement of the target signal in the delay algorithm based on simulation, and wind for passive localization impact and how to modify the impact, given the correction formula, and by computer simulation, the simulation calculated the azimuth error of the table can see, after following a marked improvement in azimuth, so as to achieve the effect of the amendments to improve the positioning accuracy.
The design of an indoor sensor network to support localization-based services is a challenging issue in that the protocols and localization algorithms have to be adapted to the capabilities of resources-constrained se...
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ISBN:
(纸本)9783642235405;9783642235412
The design of an indoor sensor network to support localization-based services is a challenging issue in that the protocols and localization algorithms have to be adapted to the capabilities of resources-constrained sensor nodes. Furthermore, the achieved position accuracy depends on many factors like the amount of signaling and quality of inter-node measurements, as well as the mathematical algorithm used for estimating the position. In this paper we present experiences and considerations in the design of such systems for IEEE 802.15.4 indoor sensor networks.
localization of the sensor nodes is a key supporting technology in wireless sensor networks （WSNs）. In this paper, a real-time localization estimator of mobile node in WSNs based on extended Kalman filter （KF） is ...
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localization of the sensor nodes is a key supporting technology in wireless sensor networks （WSNs）. In this paper, a real-time localization estimator of mobile node in WSNs based on extended Kalman filter （KF） is proposed. Mobile node movement model is analyzed and online sequential iterative method is used to compute location result. The detailed steps of mobile sensor node self-localization adopting extended Kalman filter （EKF） is designed. The simulation results show that the accuracy of the localization estimator scheme designed is better than those of maximum likelihood estimation （MLE） and traditional KF algorithm.
The design problems of localization algorithm, distribution density estimation and node's moving path for data collection in multi-layers mobile wireless senor network are investigated. To ensure estimating accura...
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ISBN:
(纸本)9781424462520
The design problems of localization algorithm, distribution density estimation and node's moving path for data collection in multi-layers mobile wireless senor network are investigated. To ensure estimating accurately the node density, this paper proposes a new movement control strategy for fusion nodes based on probabilistic coverage model. This method completed the unknown node localization through beacon nodes traversing the monitoring area, and estimated distribution density of nodes in the network based on probabilistic coverage model, and divided the nodes into groups as little as possible, and constructed the short path of the fusion node's data collection according to the centers of these limited groups. The results of the experiments indicated that the control policy of mobile fusion nodes can reduce greatly network energy, and prolong network lifetime.
in many applications of wireless sensor networks, location is very important information. Conventional location information comes from manual setting or GPS device. However, manual location setting requires huge cost ...
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ISBN:
(纸本)9781424416622
in many applications of wireless sensor networks, location is very important information. Conventional location information comes from manual setting or GPS device. However, manual location setting requires huge cost of human time, and GPS location setting requires expensive device cost and large device size. Furthermore, GPS can not operate in indoor environment. Both approaches are not applicable to localization task of wireless sensor networks. In this paper, an accurate and efficient localization algorithm based on multidimensional scaling (MDS) is proposed in hierarchical network environment. Through localized computation of multidimensional scaling within a cluster, the computation overhead can be distributed to each cluster. On the other hand, MDS-based localization approach requires the estimation of multihop distance. Through restricting estimation of multihop distances within a cluster, the proposed localization algorithm achieves better accuracy and can operate in non-convex network environment. Experimental results reveal that the proposed HMDS localization algorithm outperforms MDSMAP algorithm in terms of accuracy.
localization is a vital foundation work in Wireless Sensor Network(WSN). Almost all of location algorithms at present need the position information of reference nodes to locate the unknown nodes. But most of algorithm...
详细信息
localization is a vital foundation work in Wireless Sensor Network(WSN). Almost all of location algorithms at present need the position information of reference nodes to locate the unknown nodes. But most of algorithms assume an idealistic radio propagation model that is far from the reality. This will lead to obvious difference compared with real localization of WSN. In this paper we investigate the impact of radio irregularity on the localization algorithms performance in WSN. We introduce the Radio Irregularity Model(RIM) which is established upon empirical data. With this model, this paper analyzes the impact of radio irregularity on localization algorithms. We compare three typical coarse-grained localization algorithms: APIT, Centroid and DV-HOP in simulated realistic settings. Our experimental results show that radio irregularity has a significant impact on some main evaluation aspects of localization algorithms. Some interesting phenomena is worthy of further study.
In patch-and-stitch localization algorithms, a flip error refers to the kind of error in which a patch is stitched to the map as being wrongly reflected. In this paper, we present an anchor-free localization algorithm...
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In patch-and-stitch localization algorithms, a flip error refers to the kind of error in which a patch is stitched to the map as being wrongly reflected. In this paper, we present an anchor-free localization algorithm which tries to detect and prevent flip errors. The flip error prevention is achieved by two filtering mechanisms: the flip ambiguity test and the flip conflict detection. Based on two techniques, we devised an anchor-free localization algorithm and evaluated the performance of the proposed algorithm though simulations. The results show that our algorithm achieves significant performance improvement over the existing algorithms.
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