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Validating an integer non-linear program optimization model of a wireless sensor network using agent-based simulation

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Validating an integer non-linear program optimization model of a wireless sensor network using agent-based simulation. / Karatas, Mumtaz; Onggo, Bhakti Satyabuhdi Stephan.

2016 Winter Simulation Conference (WSC). IEEE Computer Society, 2016. p. 1340-1351 (2016 Winter Simulation Conference (WSC)).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Karatas, M & Onggo, BSS 2016, Validating an integer non-linear program optimization model of a wireless sensor network using agent-based simulation. in 2016 Winter Simulation Conference (WSC). 2016 Winter Simulation Conference (WSC), IEEE Computer Society, pp. 1340-1351. https://doi.org/10.1109/WSC.2016.7822188

APA

Karatas, M., & Onggo, B. S. S. (2016). Validating an integer non-linear program optimization model of a wireless sensor network using agent-based simulation. In 2016 Winter Simulation Conference (WSC) (pp. 1340-1351). (2016 Winter Simulation Conference (WSC)). IEEE Computer Society. https://doi.org/10.1109/WSC.2016.7822188

Vancouver

Karatas M, Onggo BSS. Validating an integer non-linear program optimization model of a wireless sensor network using agent-based simulation. In 2016 Winter Simulation Conference (WSC). IEEE Computer Society. 2016. p. 1340-1351. (2016 Winter Simulation Conference (WSC)). https://doi.org/10.1109/WSC.2016.7822188

Author

Karatas, Mumtaz ; Onggo, Bhakti Satyabuhdi Stephan. / Validating an integer non-linear program optimization model of a wireless sensor network using agent-based simulation. 2016 Winter Simulation Conference (WSC). IEEE Computer Society, 2016. pp. 1340-1351 (2016 Winter Simulation Conference (WSC)).

Bibtex

@inproceedings{85ef1a77f69a4beda6032247fb429098,
title = "Validating an integer non-linear program optimization model of a wireless sensor network using agent-based simulation",
abstract = "Deploying wireless sensor networks (WSN) along a barrier line to provide surveillance against illegal intruders is a fundamental sensor-allocation problem. To maximize the detection probability of intruders with a limited number of sensors, we propose an integer non-linear program optimization model which considers multiple types of sensors and targets, probabilistic detection functions and sensor-reliability issues. An agent-based simulation (ABS) model is used to validate the analytic results and evaluate the performance of the WSN under more realistic conditions, such as intruders moving along random paths. Our experiment shows that the results from the optimization model are consistent with the results from the ABS model. This increases our confidence in the ABS model and allows us to conduct a further experiment using moving intruders, which is more realistic, but it is challenging to find an analytic solution. This experiment shows the complementary benefits of using optimization and ABS models.",
author = "Mumtaz Karatas and Onggo, {Bhakti Satyabuhdi Stephan}",
year = "2016",
month = dec,
day = "11",
doi = "10.1109/WSC.2016.7822188",
language = "English",
isbn = "9781509044870",
series = "2016 Winter Simulation Conference (WSC)",
publisher = "IEEE Computer Society",
pages = "1340--1351",
booktitle = "2016 Winter Simulation Conference (WSC)",

}

RIS

TY - GEN

T1 - Validating an integer non-linear program optimization model of a wireless sensor network using agent-based simulation

AU - Karatas, Mumtaz

AU - Onggo, Bhakti Satyabuhdi Stephan

PY - 2016/12/11

Y1 - 2016/12/11

N2 - Deploying wireless sensor networks (WSN) along a barrier line to provide surveillance against illegal intruders is a fundamental sensor-allocation problem. To maximize the detection probability of intruders with a limited number of sensors, we propose an integer non-linear program optimization model which considers multiple types of sensors and targets, probabilistic detection functions and sensor-reliability issues. An agent-based simulation (ABS) model is used to validate the analytic results and evaluate the performance of the WSN under more realistic conditions, such as intruders moving along random paths. Our experiment shows that the results from the optimization model are consistent with the results from the ABS model. This increases our confidence in the ABS model and allows us to conduct a further experiment using moving intruders, which is more realistic, but it is challenging to find an analytic solution. This experiment shows the complementary benefits of using optimization and ABS models.

AB - Deploying wireless sensor networks (WSN) along a barrier line to provide surveillance against illegal intruders is a fundamental sensor-allocation problem. To maximize the detection probability of intruders with a limited number of sensors, we propose an integer non-linear program optimization model which considers multiple types of sensors and targets, probabilistic detection functions and sensor-reliability issues. An agent-based simulation (ABS) model is used to validate the analytic results and evaluate the performance of the WSN under more realistic conditions, such as intruders moving along random paths. Our experiment shows that the results from the optimization model are consistent with the results from the ABS model. This increases our confidence in the ABS model and allows us to conduct a further experiment using moving intruders, which is more realistic, but it is challenging to find an analytic solution. This experiment shows the complementary benefits of using optimization and ABS models.

U2 - 10.1109/WSC.2016.7822188

DO - 10.1109/WSC.2016.7822188

M3 - Conference contribution/Paper

SN - 9781509044870

T3 - 2016 Winter Simulation Conference (WSC)

SP - 1340

EP - 1351

BT - 2016 Winter Simulation Conference (WSC)

PB - IEEE Computer Society

ER -