A sensor network test-bed for an integrated target surveillance experiment

Pratik K. Biswas; Shashi Phoha

doi:10.1109/LCN.2004.9

A sensor network test-bed for an integrated target surveillance experiment

Pratik K. Biswas, Shashi Phoha

Applied Research Laboratory (ARL)

Research output: Contribution to conference › Paper › peer-review

8 Citations (SciVal)

Abstract

In this paper, we describe a distributed sensor network test-bed and a surveillance experiment to demonstrate the integration of distributed tracking algorithms with strategies for location estimation, energy management and mobility management of sensor nodes. The test-bed consists of real sensor nodes augmented with a simulated environment. Data from real world tracking is provided to the simulated environment, where it is used to self-organize the sensor network in an energy-efficient way. Results from the simulation are then fed back to the real world to enable the sensor network to reorganize for reinforced tracking.

Original language	English (US)
Pages	552-553
Number of pages	2
DOIs	https://doi.org/10.1109/LCN.2004.9
State	Published - Dec 1 2004
Event	Proceedings - 29th Annual IEEE International Conference on Local Computer Networks, LCN 2004 - Tampa, FL, United States Duration: Nov 16 2004 → Nov 18 2004

Other

Other	Proceedings - 29th Annual IEEE International Conference on Local Computer Networks, LCN 2004
Country/Territory	United States
City	Tampa, FL
Period	11/16/04 → 11/18/04

All Science Journal Classification (ASJC) codes

Engineering(all)

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10.1109/LCN.2004.9

Cite this

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AB - In this paper, we describe a distributed sensor network test-bed and a surveillance experiment to demonstrate the integration of distributed tracking algorithms with strategies for location estimation, energy management and mobility management of sensor nodes. The test-bed consists of real sensor nodes augmented with a simulated environment. Data from real world tracking is provided to the simulated environment, where it is used to self-organize the sensor network in an energy-efficient way. Results from the simulation are then fed back to the real world to enable the sensor network to reorganize for reinforced tracking.

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A sensor network test-bed for an integrated target surveillance experiment

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