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Vol. 213, Issue 6, June 2017, pp. 1-8




Sensor Node Deployment Approach in Wireless Sensor Network Based on Multi-objective Flower Pollination Algorithm

Faten Hajjej, Ridha Ejbali and Mourad Zaied

Research Team in Intelligent Machines (RTIM), Omar Ibn El Khattab Street, Zrig Eddakhlania, 6072, Gabes, Tunisia

E-mail: hajjej.faten.tn@ieee.org, ridha_ejbali@ieee.org, mourad.zaied@ieee.org


Received: 5 May 2017 /Accepted: 5 June 2017 /Published: 30 June 2017

Digital Sensors and Sensor Sysstems


Abstract: Wireless Sensor Network (WSN) is one of the most dominant technology trends in the upcoming decades. Due to the lack of communication infrastructure, designing a WSN has posed a real challenge to the designers. WSNs should capture information from the environment, acquired, receive and retransmit them while having enough lifetime to reach many decades without external intervention. Thus, optimizing some objective functions, like energy consumption and coverage at the levels of nodes deployment is required to enhance the performances. In this work, deployment issue has been modeled as a constrained multi-objective optimization (MOO) problem. The aim of this work was to find the optimal sensor nodes positions in the area of interest in terms of coverage, energy consumption and network connectivity. A new multi-objective optimization approach based on Flower Pollination Algorithm (FPA) was introduced. The simulation results show that the proposed approach improve both coverage and energy consumption compared with other multi objective approaches.


Keywords: WSN, Deployment problem, Multi objective optimization, Energy consumption, FPA.


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