MCTA: Target Tracking Algorithm Based on Minimal Contour in Wireless Sensor Networks

Jeong, Jaehoon; Hwang, Taesung; He, Tian; Du, David H. C.

doi:10.1109/infcom.2007.283

Cited by 54 publications

(31 citation statements)

References 10 publications

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“…Initially, all the nodes are provided with the energy of 60 joules. The energy consumption, network lifetime and the tracking accuracy is measured and compared against PPSS [13] and MCTA [14].…”

Section: Resultsmentioning

confidence: 99%

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Cluster Based Trustable Target Detection and Tracking Scheme for Wireless Sensor Networks

Jehan¹,

Punithavathani²

2016

IJIES

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Abstract:This article intends to present a Cluster based Trustable Target Detection and Tracking Scheme (CTTDTS) for Wireless Sensor Network (WSN). The entire network area is segregated into numerous equal sized grids and each grid acts as a cluster. All the grids are populated with equal count of nodes. A predominant node is elected for each grid by means of trust degree, which is computed by the Dempster Shafer theory. The predominant node fixes the minimal count of active nodes per grid and controls the activity of the nodes. The predominant node along with the active nodes detects and tracks the target. Besides this, the predominant node alerts the neighborhood clusters through which the target may traverse. The network lifetime is considerably enhanced by employing job cycle scheduling and clustering technique. The experimental results prove the efficacy of the proposed approach in terms of detection accuracy, energy consumption and network lifetime.

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Section: Resultsmentioning

confidence: 99%

“…An energy efficient target tracking algorithm is presented in [14], which tends to minimize the count of working nodes. The working nodes are selected on the basis of kinematics principle.…”

Section: Review Of Literaturementioning

confidence: 99%

Cluster Based Trustable Target Detection and Tracking Scheme for Wireless Sensor Networks

Jehan¹,

Punithavathani²

2016

IJIES

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“…A real-time target tracking system with WSNs is designed in [3,4], which adopts an energy management scheme to make sensor nodes rotate in active and sleep state to conserve energy of the network. Moreover, some scheduling and wake-up topics are analyzed.…”

Section: Related Workmentioning

confidence: 99%

“…It has been applied in various areas such as disaster predication, emergency response, battlefield surveillance, home and office control, etc. Many target tracking protocols have been proposed to support long-term surveillance by using large scale WSNs [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Compressing Information of Target Tracking in Wireless Sensor Networks

Li¹

2011

WSN

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Target tracking is a well studied topic in wireless sensor networks. It is a procedure that nodes in the network collaborate in detecting targets and transmitting their information to the base-station continuously, which leads to data implosion and redundancy. To reduce traffic load of the network, a data compressing based target tracking protocol is proposed in this work. It first incorporates a clustering based data gather method to group sensor nodes into clusters. Then a novel threshold technique with bounded error is proposed to exploit the spatial correlation of sensed data and compress the data in the same cluster. Finally, the compact data presentations are transmitted to the base-station for targets localization. We evaluate our approach with a comprehensive set of simulations. It can be concluded that the proposed method yields excellent performance in energy savings and tracking quality.

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“…This can lead to fast energy exhaustion of nodes, and hence shortening the lifetime of the network. Many researchers try to overcome the point coverage problem by designing a suitable scheduling strategy for making nodes on and off in such a way that in each time slice, only nodes which can sense the target points in that period are on [13,14,15,16,17,18,19,20]. In this method, many nodes are scattered randomly throughout the filed, and the criterion of minimum number of required nodes addressed by the scheduling mechanism which tries to minimize the number of nodes being in on state according to their ability to sense the target points.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Point Coverage in Wireless Sensor Networks: A Learning Automata Approach

Esnaashari

Meybodi

2008

Communications in Computer and Information Science

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Point coverage in wireless sensor networks is the problem of detecting some stationary or moving target points in the area of the network using as little sensor nodes as possible. This can be accomplished using different deployment strategies, rearrangement of nodes using a moving strategy, or designing a suitable schedule for making nodes on and off in such a way that in each time slice, only nodes which can sense the target points in that period are on. With dynamic point coverage, we refer to the problem of point coverage, where target points are moving, and hence rearrangement or scheduling should be dynamically adapted to the changing position of targets. In this paper, we propose a novel method for the problem of dynamic point coverage in wireless sensor networks using learning automata. Each node is equipped with a learning automaton which will learn (schedule) the proper on and off times of that node based on the movement nature of a single moving target.

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MCTA: Target Tracking Algorithm Based on Minimal Contour in Wireless Sensor Networks

Abstract: Abstract-This paper proposes a minimal contour tracking algorithm (MCT

Cited by 54 publications

References 10 publications

Cluster Based Trustable Target Detection and Tracking Scheme for Wireless Sensor Networks

Cluster Based Trustable Target Detection and Tracking Scheme for Wireless Sensor Networks

Compressing Information of Target Tracking in Wireless Sensor Networks

Dynamic Point Coverage in Wireless Sensor Networks: A Learning Automata Approach

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