Flower Pollination Optimization Algorithm for Wireless Sensor Network Lifetime Global Optimization
Marwa Sharawi1, E. Emary2, Imane Aly Saroit3, Hesham El-Mahdy

1Marwa Sharawi, B.Sc. and M. Sc in information technology from Cairo University, Egypt
2Dr. Eid Emary, B.Sc., M.Sc and the Ph.D in information technology from Cairo University, Egypt.
3Prof. Imane Aly Saroit, B.Sc., M.Sc and the Ph.D from Faculty of engineering, Communication department, Cairo University, Egypt.
4Prof. Hesham N. El Mahdy, B.Sc. in Automobile engineering from the Military Technical Collage. He received his first M. Sc. in Computer Science from the Institute of Statistical Studies & Research, Cairo University, Egypt.
Manuscript received on June 25, 2014. | Revised Manuscript received on July 03, 2014. | Manuscript published on July 05, 2014. | PP: 54-59 | Volume-4, Issue-3, July 2014. | Retrieval Number: C2289074314 /2012©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: As wireless sensor networks still struggling to extend its lifetime, nodes` clustering and nomination, or selection of cluster head node are proposed as solution. LEACH protocol is one of the oldest remarkable clustering approaches that aim to cluster the network`s nodes and randomly elects a cluster head for each cluster. It selects cluster heads but it is not responsible for proper clustering formation. In this paper we use the Flower Pollination Optimization Algorithm (FPOA) to propose a WSN energy aware clustering formation model based on the intra-cluster distances. The objective is to achieve the global optimization for WSN lifetime. Simulation results and performance analysis show that applying flower pollination optimization on WSNs clustering is more efficient. It is effectively balance power utilization of each sensor node and hence extends WSN lifetime comparatively with the classical LEACH approach.
Keywords: Wireless Sensor Network; Energy-aware algorithm; Flower Pollination Optimization Algorithm; Hierarchical routing protocol.