Precise Localization with Smart Antennas in Ad-Hoc Networks

Zhang, Shan; Yum, T.-S.P.

doi:10.1109/glocom.2007.203

Cited by 29 publications

(16 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Noise matrixÑ X andÑ Y have the same form withX, whose elements are depicted in (6). Seemingly, the above problem depicted in (8), (9) can be solved by traditional subspace methods, however, it is unfortunate that the limit number of antennas can not provide sufficient DOF to deal with MPCs.…”

Section: A Reconstruct Array Data By Pseudo-snapshotmentioning

confidence: 99%

Joint AOD and CFO estimation in wireless sensor networks localization system

Yao

Wang

Yin

2011

2011 IEEE Wireless Communications and Networking Conference

View full text Add to dashboard Cite

Self-localization system of wireless sensor networks based on angle of departure (AOD) is studied in this paper. In AOD model, anchor node with multi-antenna transmits orthogonal pilot signals to sensor node with single antenna, which entitles the sensor node to function as equipping multiantenna. Given that the limited number of antenna at anchor nodes will result in degree of freedom (DOF) deficiency at sensor node when dealing with more multipath components (MPC), we adopt a novel method without requiring extra antennas. The proposed algorithm simultaneously includes the oscillator mismatch between anchor node and sensor node, i.e., carrier frequency offset (CFO). With the aid of anchor's movement and CFO, the equivalent antenna array at sensor node is expended by synthetic aperture procedure to a much larger one, which subsequently improve the estimation ability to MPCs. In addition, the close-form solutions of CFO and AOD are also derived. The effectiveness and performance of proposed algorithm are demonstrated by numerical simulations.

show abstract

Section: A Reconstruct Array Data By Pseudo-snapshotmentioning

confidence: 99%

Joint AOD and CFO estimation in wireless sensor networks localization system

Yao

Wang

Yin

2011

2011 IEEE Wireless Communications and Networking Conference

View full text Add to dashboard Cite

show abstract

“…Moreover, the calibration could change according to the environmental conditions. The determination of how to measure the improvement of accuracy of RSSI techniques is nowadays an important research area [23] [24] [25].…”

Section: A Range-based Techniquesmentioning

confidence: 99%

Locating sensors with fuzzy logic algorithms

Larios

Barbancho

Molina

et al. 2011

2011 IEEE Workshop on Merging Fields of Computational Intelligence and Sensor Technology

View full text Add to dashboard Cite

In a system formed by hundreds of sensors deployed in a huge area it is important to know the position where every sensor is.This information can be obtained using several methods. However, if the number of sensors is high and the deployment is based on ad-hoc manner, some auto-locating techniques must be implemented.In this paper we describe a novel algorithm based on fuzzy logic with the objective of estimating the location of sensors according to the knowledge of the position of some reference nodes.This algorithm, called LIS (Localization based on Intelligent Sensors) is executed distributively along a wireless sensor network formed by hundreds of nodes, covering a huge area.The evaluation of LIS is led by simulation tests. The result obtained shows that LIS is a promising method that can easily solve the problem of knowing where the sensors are located.

show abstract

“…The local angle information at each sensor shows the relative direction and order of its neighbors, thus the localization problem could be made easier. Local angles between adjacent edges can be measured by using multiple ultrasound receivers [17] or by using directional antennas [9,20]. In our work, we assume that each node is equipped with such antenna array so that it can measure the local angle between two edges of itself and two neighbor nodes.…”

Section: Introductionmentioning

confidence: 99%

DAL: A Distributed Localization in Sensor Networks Using Local Angle Measurement

Tang

Zhu

Subramanian

et al. 2009

2009 Proceedings of 18th International Conference on Computer Communications and Networks

View full text Add to dashboard Cite

Abstract-We study the localization problem in sensor networks by using local angle measurement. Localization using local angle information was recently proposed as an effective localization technique, which can be used for geographical routing with guaranteed delivery. However, the existing approach is based on linear programming (LP) and can not be implemented distributedly. We propose, design, and evaluate DAL: a purely distributed localization protocol in sensor networks using local angle measurement. Localization with local angle poses unique challenge in sensor networks due to information uncertainties identified in this paper. DAL specifically addresses these challenges. Via extensive simulations using ns2 and our own simulator, we show that the performance of DAL is comparable with that of the centralized LP approach in most cases. Our preliminary results with noisy angle measurement show that DAL keeps the global geometry of the sensor network fairly well.

show abstract

Precise Localization with Smart Antennas in Ad-Hoc Networks

Cited by 29 publications

References 28 publications

Joint AOD and CFO estimation in wireless sensor networks localization system

Joint AOD and CFO estimation in wireless sensor networks localization system

Locating sensors with fuzzy logic algorithms

DAL: A Distributed Localization in Sensor Networks Using Local Angle Measurement

Contact Info

Product

Resources

About