Tracking targets with self-organizing distributed ground sensors

Moore, Jason Z.; Keiser, T.; Brooks, Richard; Phoha, Shashi; Friedlander, David; Koch, John; Reggio, A.; Jacobson, Noah Tobias

doi:10.1109/aero.2003.1235137

Cited by 23 publications

(9 citation statements)

References 8 publications

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“…Work still needs to be done on optimizing packet and cell sizes. Work is also needed to fully realize the ability of the distributed system to support target classes with different dynamics and maintain multiple track hypotheses [23].…”

Section: Issues and Challengesmentioning

confidence: 99%

Distributed target classification and tracking in sensor networks

2003

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Section: Issues and Challengesmentioning

confidence: 99%

Distributed target classification and tracking in sensor networks

2003

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“…The implementation and testing of a real distributed sensor network collaborative tracking algorithm in a military context is described in [23].…”

Section: Related Workmentioning

confidence: 99%

Energy-Quality Tradeoffs for Target Tracking in Wireless Sensor Networks

Pattem

Poduri

Krishnamachari

2003

Information Processing in Sensor Networks

159

111

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Abstract. We study the tradeoffs involved in the energy-efficient localization and tracking of mobile targets by a wireless sensor network. Our work focuses on building a framework for evaluating the fundamental performance of tracking strategies in which only a small portion of the network is activated at any point in time. We first compare naive network operation with random activation and selective activation. In these strategies the gains in energy-savings come at the expense of increased uncertainty in the location of the target, resulting in reduced quality of tracking. We show that selective activation with a good prediction algorithm is a dominating strategy that can yield orders-of-magnitude energy savings with negligible difference in tracking quality. We then consider duty-cycled activation and show that it offers a flexible and dynamic tradeoff between energy expenditure and tracking error when used in conjunction with selective activation.

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“…Some of them further assume that each node in a sensor network has the ability to transmit data to any other sensor node or directly to the base station 9,10 . These sensor networks are indeed applicable to numerous applications to extend our ability to monitor and control the physical world, including biological and environmental monitoring tasks, ranging from marine to soil and atmospheric context 24,25,26 , and defense and homeland security applications, ranging from target detection, classification, to object tracking, and intrusion detection 20,21,22,23,27,28,29 .…”

Section: Introductionmentioning

confidence: 99%

A chain-type wireless sensor network for monitoring long range infrastructures

2005

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We present in this paper an investigation on a special class of wireless sensor networks for monitoring critical infrastructures that may extend for hundreds of miles in distances. Such networks are fundamentally different from traditional sensor networks in that the sensor nodes in this class of networks are deployed along narrowly elongated geographical areas and form a chain-type topology. Based on careful analysis of existing sensor network architectures, we first demonstrate the needs to develop new architecture and networking protocols to match the unique topology of chain-type sensor networks. We then propose hierarchical network architecture that consists of clusters of sensor nodes to enable the chain-type sensor networks to be scalable to cover typically long range of infrastructure with tolerable delay in network-wide data collection. To maintain energy efficient operations and maximize the lifetime for such a chain-type sensor network, we devise a smart strategy for the deployment of cluster heads. Protocols for network initialization and seamless operations of the chain-type sensor networks are also developed to match the proposed hierarchical architecture and cluster head deployment strategy. Simulations have been carried out to verify the performance of the hierarchical architecture, the smart node deployment strategy, and the corresponding network initialization and operation protocols.

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Tracking targets with self-organizing distributed ground sensors

Cited by 23 publications

References 8 publications

Distributed target classification and tracking in sensor networks

Distributed target classification and tracking in sensor networks

Energy-Quality Tradeoffs for Target Tracking in Wireless Sensor Networks

A chain-type wireless sensor network for monitoring long range infrastructures

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