Classification of Object Tracking Techniques in Wireless Sensor Networks

Fayyaz, Mohsin

doi:10.4236/wsn.2011.34014

Cited by 32 publications

(15 citation statements)

References 8 publications

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“…With equal responsibility, each sensor independently observes, processes and transmits the monitored data to the sink node (Fayyaz, 2011). Under this centralized approach, the sink node solely undertakes the heavy computation tasks related to tracking and localizing the monitored objects (Sarna and Zaveri, 2010).…”

Section: The Naïve Architecturementioning

confidence: 99%

Object Tracking in Wireless Sensor Networks: Challenges and Solutions

Ismail¹,

Alkhader²,

Elnaffar³

2016

Journal of Computer Science

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Wireless Sensor Networks (WSNs) are small, inexpensive and battery-operated sensor nodes that are deployed over a geographical area. WSNs are used in many applications such border patrolling, military intrusion detection, wildlife animal monitoring, surveillance of natural disasters and healthcare systems. Mobile object tracking is a vital task in all these applications. The goal of this work is to highlight the most important challenges in the field of object tracking and provide a survey of the WSN architectural design and implementation approaches for tackling this problem.To that end, we analyze how each approach responds to each challenge and where it falls short. This analysis should provide researchers with a state-of-the-art review and inspire them to propose novel solutions.

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Section: The Naïve Architecturementioning

confidence: 99%

Object Tracking in Wireless Sensor Networks: Challenges and Solutions

Ismail¹,

Alkhader²,

Elnaffar³

2016

Journal of Computer Science

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“…Target tracking in WSN can be mainly classified into two categories [3]. Hierarichal and peer to peer networks.…”

Section: Classification Of Target Tracking Methodsmentioning

confidence: 99%

Analysis of Cluster based Target Tracking in Wireless Sensor Networks

Gopal¹,

Krishnamoorthy²

2013

IJCA

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Wireless Sensor Networks (WSNs), is one of the most emerging technologies in recent years. Signal processing between sensor nodes to the base station is most important task for these networks. Target tracking in WSN mainly focuses on localization and object tracking. This paper addresses various cluster based target tracking techniques in wireless sensor networks. To support reliability, energy efficiency and efficient routing, nodes are often grouped into clusters. The clusters can be formed before the intrusion enters the network which is called the static method or clusters are created by using signal strength from target which is called the dynamic method. This paper gives a various cluster based target tracking methods for efficient target tracking in WSN.

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“…In [24], the authors proposed a secure localization scheme to defend against some typical attacks that may affect target tracking accuracy. More target tracking protocols can be found in [25,26].…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Cluster-Based Target Tracking Protocol for Wireless Sensor Networks

Wang

Lou

Wang

et al. 2013

International Journal of Distributed Sensor Networks

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Target tracking is a typical and important application of wireless sensor networks (WSNs). In consideration of the network scalability and energy efficiency for target tracking in large-scale WSNs, it has been employed as an effective solution by organizing the WSNs into clusters. However, tracking a moving target in cluster-based WSNs suffers a boundary problem when the target moves across or along the boundaries of clusters, as the static cluster membership prevents sensors in different clusters from sharing information. In this paper, we propose a novel mobility management protocol, called hybrid cluster-based target tracking (HCTT), which integrates on-demand dynamic clustering into a cluster-based WSN for target tracking. By constructing on-demand dynamic clusters at boundary regions, nodes from different static clusters that detect the target can temporarily share information, and the tracking task can be handed over smoothly from one static cluster to another. As the target moves, static clusters and on-demand dynamic clusters alternately manage the target tracking task. Simulation results show that the proposed protocol performs better in tracking the moving target when compared with other typical target tracking protocols.

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Classification of Object Tracking Techniques in Wireless Sensor Networks

Cited by 32 publications

References 8 publications

Object Tracking in Wireless Sensor Networks: Challenges and Solutions

Object Tracking in Wireless Sensor Networks: Challenges and Solutions

Analysis of Cluster based Target Tracking in Wireless Sensor Networks

A Hybrid Cluster-Based Target Tracking Protocol for Wireless Sensor Networks

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