Dynamic Clustering for Object Tracking in Wireless Sensor Networks

Jin, Guang-yao; Lu, Xiao-Yi; Park, Myong-Soon

doi:10.1007/11890348_16

Cited by 48 publications

(34 citation statements)

References 8 publications

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“…For this reason, some mechanism is used to ensure the selection of only one sensor as a cluster head. Nodes that are close to the cluster head are invited, as members, to form a cluster and report their collected data to the head (Jin et al, 2006). The cluster is dismantled when the object is no longer sensed (Jung et al, 2011a).…”

Section: Dynamic Clusteringmentioning

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: Dynamic Clusteringmentioning

confidence: 99%

Object Tracking in Wireless Sensor Networks: Challenges and Solutions

Ismail¹,

Alkhader²,

Elnaffar³

2016

Journal of Computer Science

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“…For example, it facilitates spatial reuse of resources to increase the system capacity [2]; it also benefits local collaboration and routing [3,4]. Recently, the cluster structure is gradually adopted for solving the target tracking problem [5][6][7][8][9][10][11][12][13]. Normally, nodes surrounding the target collaborate with each other to estimate the location of the target.…”

Section: Introductionmentioning

confidence: 99%

“…Normally, nodes surrounding the target collaborate with each other to estimate the location of the target. In [5][6][7][8][9][10], dynamic clustering approaches are used that dynamically wake up a group of nodes to construct a cluster for local collaboration when the target moves into a region. Clusters are constructed dynamically, as the target moves.…”

Section: Introductionmentioning

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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“…A system to watch a process from a load point to an unloading point by a container monitoring system was carried out by S. Mahlknecht and et al [9]. G.Y.Jin and et al proposed a dynamic clustering method which enables nodes only around the target nodes for the energy management of the WSN system [10]. In different study, B.Y.Zong and et al developed a WSN design which can guide a vehicle for parking in a guarded parking by the help of specific nodes [12].…”

Section: Introductionmentioning

confidence: 99%

An Application of a Low-Cost Monitoring and Guidance System in a WSN

Tatar¹,

Yıldırım²

2013

IJCA

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Wireless sensor networks (WSNs) have been deployed in many workplaces (hangars, warehouses, etc.) for general purposes (climatic data collection, security and so on). Also, in these kinds of workplaces, localization systems are often required for monitoring, tracking and guidance, but this means extra charge. In this article, an application of a low-cost localization system, which can track and guide vehicles by the help of an existing WSN system, is introduced. For the system, a technique called "Edge-Masking Technique" was proposed. Besides, "Bounding Box" method was used for the position detection. The empiric RSSI-distance relationship equation used in the method was obtained from experimental studies. In addition to this, the equation was improved by a technique named "Circular Calibration with Offset Value". The practicability of the system was demonstrated by both simulation and real nodes.

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Dynamic Clustering for Object Tracking in Wireless Sensor Networks

Cited by 48 publications

References 8 publications

Object Tracking in Wireless Sensor Networks: Challenges and Solutions

Object Tracking in Wireless Sensor Networks: Challenges and Solutions

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

An Application of a Low-Cost Monitoring and Guidance System in a WSN

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