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A Distributed Algorithm for Constructing Underwater Strong k-Barrier Coverage

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IoT as a Service (IoTaaS 2018)

Abstract

Sensor barrier coverage has been recognized as an appropriate coverage model for intrusion detection, and many achievements have been obtained in two-dimensional (2D) terrestrial wireless sensor networks. However, the achievements based on 2D assumption cannot be directly applied in three-dimensional (3D) application scenarios, e.g., underwater wireless sensor networks. In this paper, we aim to devise a distributed algorithm for constructing maximum level underwater strong k-barrier coverage with mobile sensors in 3D underwater environment. Considering that an underwater strong k-barrier coverage is constituted with k underwater strong 1-barrier coverage which is referred to as layer in this work, we first derive the optimal positions of the sensors in each layer, then we propose a distributed algorithm for constructing maximum level underwater strong k-barrier coverage with available mobile sensors layer by layer from left to right in 3D underwater environment. Simulation results show that the proposed algorithm outperforms the optimal centralized approach (i.e., Hungarian algorithm) in terms of duration and achieves performance close to Hungarian algorithm with respect to several performance metrics.

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Notes

  1. 1.

    In this paper, we only consider 3D underwater application scenarios where the sensors are deployed in 3D underwater environment.

  2. 2.

    The vacant positions resided on constructing-layer have the smallest x-coordinate, consequently they are finally cached in vacant position queue according to the above protocol.

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Correspondence to Chuanlin Zhang .

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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Shen, W., Zhang, C., Shi, J., Zhang, X., Wang, Z. (2019). A Distributed Algorithm for Constructing Underwater Strong k-Barrier Coverage. In: Li, B., Yang, M., Yuan, H., Yan, Z. (eds) IoT as a Service. IoTaaS 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 271. Springer, Cham. https://doi.org/10.1007/978-3-030-14657-3_18

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  • DOI: https://doi.org/10.1007/978-3-030-14657-3_18

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  • Online ISBN: 978-3-030-14657-3

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