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A Novel Queen Honey Bee Migration (QHBM) Algorithm for Sink Repositioning in Wireless Sensor Network

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Abstract

A novel sink repositioning scheme to prolong lifetime in wireless sensor network presents in this paper. The proposed method called Queen honey bee migration (QHBM) algorithm mimics the migration process of queen honey bee in nature. In short, the queen begins her journey to find the new location for hive which assisted by scout bees. Queen may visit several places until she found the place to settle down. Henceforth, sink represents Queen and CH nodes are assigned as scout bees. In QHBM, sink relocates itself from the initial position towards the selected pole of cardinal direction, for example: sink moves towards North pole. The sink movement is guided by CH nodes which have highest remaining energy. After arrived in the new position, sink recalculates parameters for next journey. Sink collects data whenever it arrived in the future position. CH nodes are rotated in each journey of a sink. Therefore, the proposed method can balance the energy consumption among nodes and prolong network lifetime. We conducted simulation and compared the proposed QHBM algorithm with static sink and existing sink repositioning schemes, namely random, rendezvous, and EASR. We clearly found that the network lifetime with all sink repositioning schemes is longer than static sink. The obtained results show that the network lifetime extension by QHBM sink repositioning is 1.2 times of lifetime with static sink. QHBM surpassed random, rendezvous and EASR in lifetime extension for about 1.16, 1.1, and 1.06 times, respectively.

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Acknowledgements

This work was supported by DIKTI funded by Ministry of Research, Technology and Higher Education, Indonesia under Contract Number: 124.67/E4.4/2014. The authors would like to thank the reviewers for their constructive comments that have improved this paper.

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Authors and Affiliations

  1. Department of Electronic Engineering, National Kaohsiung University of Applied Sciences, Kaohsiung City, Taiwan

    Gwo-Jia Jong,  Aripriharta &  Hendrick

  2. Department of Computer Science and Information Engineering, Southern Taiwan University of Science and Technology, Tainan City, Taiwan

    Gwo-Jiun Horng

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  1. Gwo-Jia Jong
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Correspondence to Aripriharta.

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Jong, GJ., Aripriharta, Hendrick et al. A Novel Queen Honey Bee Migration (QHBM) Algorithm for Sink Repositioning in Wireless Sensor Network. Wireless Pers Commun 95, 3209–3232 (2017). https://doi.org/10.1007/s11277-017-3991-z

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