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Dergiler / Mathematical and Computational Applications / 2011 / Cilt: 16 - Sayı: 4

Energy efficient target tracking with particle filtering technique in wireless sensor networks

Ayşegül ALAYBEYOĞLU
Sayfa
809–818
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Tracking performance of the proposed algorithm is evaluated by comparing with K- Nearest Cluster Tracking (KNCT), Wakening Based Target Tracking Algorithm (WBTA)[10] and Generic Static Tracking Approach (GSTA) in terms of miss ratio and energy consumption metrics.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:In this study, a new target tracking algorithm is proposed for wireless sensor networks.
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Temel Bulgular & Veri:The aim of the algorithm is to decrease energy consumption of the system by decreasing the ratio of target misses.
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Sonuç & Katkı:Tracking performance of the proposed algorithm is evaluated by comparing with K- Nearest Cluster Tracking (KNCT), Wakening Based Target Tracking Algorithm (WBTA)[10] and Generic Static Tracking Approach (GSTA) in terms of miss ratio and energy consumption metrics.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

In this study, a new target tracking algorithm is proposed for wireless sensor networks. The aim of the algorithm is to decrease energy consumption of the system by decreasing the ratio of target misses. Next location of the target is predicted by using Particle Filtering (PF) technique which aims to represent the posterior density function by a set of random samples with associated weights. Nodes are deployed according to the hexagon shaped network topology in which each of the hexagons represents a cluster with a predetermined leader node. In order to decrease the ratio of target misses, nodes that are closer to the target's predicted location are woken up to make them ready to detect the target. This increases the probability of detecting the target by one of the neighboring hexagons when the target makes sudden turns or unexpected movements. Tracking performance of the proposed algorithm is evaluated by comparing with K- Nearest Cluster Tracking (KNCT), Wakening Based Target Tracking Algorithm (WBTA)[10] and Generic Static Tracking Approach (GSTA) in terms of miss ratio and energy consumption metrics.

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Bu Makaleye Atıf Yap

ALAYBEYOĞLU, A. (2011). Energy efficient target tracking with particle filtering technique in wireless sensor networks. Mathematical and Computational Applications, Cilt: 16 - Sayı: 4, 809–818. https://ajindex.com/articles/279885

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Kaynakça (8)

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