An efficient position-based dynamic location algorithm

Dynamic location of mobile users aims to deliver incoming calls to destination users. Most location algorithms keep track of mobile users through a predefined location area. The design of these location algorithms is focused to minimize the generated signaling traffic. There are three basic approaches to design location algorithms, namely distance-based, time-based and movement-based. In this Chapter we focus only on the movement-based algorithm since it achieves a good compromise between complexity and performance. We minimize a cost function for this dynamic movement-based location algorithm in order to find an optimum threshold in the number of updates. Counting the number of wireless cell crossing during inter-call times is a fundamental issue for our analysis. We use renewal theory to capture the probabilistic structure of this model, and it is general enough to include a variety of probability distributions for modeling cell residence times (CRT) in exponentially distributed location areas and hyperexponentially distributed intercall times. We present numerical results regarding some important distributions.

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Handover Analysis and Dynamic Mobility Management for Wireless Cellular Networks

Advances in Wireless Technologies and Telecommunication - Quality of Service Architectures for Wireless Networks ◽

10.4018/978-1-61520-680-3.ch012 ◽

2010 ◽

pp. 257-279

Author(s):

Ramón M. Rodríguez-Dagnino ◽

Hideaki Takagi

Keyword(s):

Probability Distributions ◽

Renewal Theory ◽

Mobile Users ◽

Dynamic Movement ◽

Dynamic Mobility ◽

Dynamic Location ◽

Probabilistic Structure ◽

Location Algorithm ◽

Basic Approaches ◽

And Performance

Dynamic location of mobile users aims to deliver incoming calls to destination users. Most location algorithms keep track of mobile users through a predefined location area. The design of these location algorithms is focused to minimize the generated signaling traffic. There are three basic approaches to design location algorithms, namely distance-based, time-based and movement-based. In this Chapter we focus only on the movement-based algorithm since it achieves a good compromise between complexity and performance. We minimize a cost function for this dynamic movement-based location algorithm in order to find an optimum threshold in the number of updates. Counting the number of wireless cell crossing during inter-call times is a fundamental issue for our analysis. We use renewal theory to capture the probabilistic structure of this model, and it is general enough to include a variety of probability distributions for modeling cell residence times (CRT) in exponentially distributed location areas and hyperexponentially distributed intercall times. We present numerical results regarding some important distributions.

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Research on Vehicle Dynamic Location Algorithm Based on Interactive Multi Model

Proceedings of the 2nd International Conference on Electronics, Network and Computer Engineering (ICENCE 2016) ◽

10.2991/icence-16.2016.27 ◽

2016 ◽

Author(s):

Guotong Zhang ◽

Lei Shi ◽

Jun Xu

Keyword(s):

Vehicle Dynamic ◽

Dynamic Location ◽

Location Algorithm

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Sensor optimum location algorithm for estimating harmonic sources injection in electrical networks

Renewable Energy and Power Quality Journal ◽

10.24084/repqj12.315 ◽

2014 ◽

pp. 291-295

Author(s):

Luis F. Beites ◽

Manuel Alvarez ◽

Agustin Díaz

Keyword(s):

Electrical Networks ◽

Optimum Location ◽

Location Algorithm

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PERANAN SEKTOR PERTANIAN, KEHUTANAN, DAN PERIKANAN DALAM PEREKONOMIAN KABUPATEN KEDIRI

Develop ◽

10.25139/dev.v4i2.2797 ◽

2020 ◽

Vol 4 (2) ◽

pp. 1

Author(s):

Kukuh Harianto ◽

Rike Kusuma Wardhani

Keyword(s):

Dynamic Location

Tujuan penelitian ini adalah untuk mengetahui bagaimana peran sektor pertanian, kehutanan dan perikanan dalam perekonomian di Kabupaten Kediri. Data yang digunakan dalam penelitian ini adalah Produk Domestik Regional Bruto Atas Dasar Harga Berlaku (PDRB HB) selama lima tahun . Metode anallisis yang dipakai dalam penelitian ini adalah analisis Statatic Location Quotien (SLQ) , Dynamic Location Quotien (DLQ), dan Shift Share Analysis. Hasil penelitian menunjukkan bahwa sektor pertanian, kehutanan dan perikanan merupakan sektor basis (unggulan) pada saat sekarang, namun tidak bisa dijadikan sebagai sektor basis pada masa mendatang. Hasil analisis shift share menunjukkan bahwa perubahan posisi sektor pertanian, kehutanan dan perikanan ditentukan oleh perubahan struktur ekonomi.

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