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Probabilistic dynamic deployment of wireless sensor networks by artificial bee colony algorithm.

Celal Ozturk¹, Dervis Karaboga, Beyza Gorkemli

¹Computer Engineering Department, Engineering Faculty, Erciyes University, Kayseri, Turkey. celal@erciyes.edu.tr

Sensors (Basel, Switzerland)

|December 14, 2011

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The artificial bee colony algorithm enhances wireless sensor network (WSN) deployment by improving coverage area. This method is preferable for dynamic deployment of both stationary and mobile WSNs.

Area of Science:

Computer Science
Network Engineering
Artificial Intelligence

Background:

Wireless sensor networks (WSNs) face performance challenges, particularly with dynamic deployment.
Optimizing network coverage is crucial for effective WSN operation.

Purpose of the Study:

To apply the artificial bee colony (ABC) algorithm for dynamic deployment in WSNs.
To enhance network coverage area for stationary and mobile sensors.

Main Methods:

Utilized the artificial bee colony (ABC) algorithm for dynamic WSN deployment.
Employed a probabilistic detection model for realistic coverage area computation.
Compared ABC algorithm performance against particle swarm optimization (PSO).

Main Results:

Keywords:

artificial bee colony algorithm dynamic deployment probabilistic detection model wireless sensor networks

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The ABC algorithm demonstrated improved performance in dynamic WSN deployment.
Achieved increased network coverage area compared to existing methods.
Probabilistic detection model provided more realistic coverage assessments.

Conclusions:

The artificial bee colony algorithm is a preferable method for dynamic WSN deployment.
ABC algorithm offers a viable solution for optimizing coverage in WSNs.
This approach is effective for both stationary and mobile sensor network configurations.