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An Efficient Multi-constraint Relay Deployment Strategy for Wireless Sensor Network

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Abstract

The relay node deployment for wireless sensor network has many application constraints, such as the energy efficiency, stable connectivity, survivability and low cost. This paper explores this problem for static wireless sensor network. An efficient multi-constraint deployment strategy is proposed to save the deployment cost by deploying minimal relay nodes in candidate locations, to improve network lifetime by minimizing the maximum energy consumption of the relay nodes, and to improve network reliability by meeting a preset reliability threshold of the wireless communication. In order, the proposed strategy covers (a) extraction of three-dimensional discrete deployment space by shortest path search, (b) reliability evaluation of wireless channel in three-dimensional environment with electromagnetic obstacle, (c) energy consumption model for wireless communication with retransmission mechanism, (d) integer linear program-based formulation optimizing the amount, locations and lifetime of deployed relay nodes under the constraints of network survivability and reliability. The comparative simulation results indicate that the proposed strategy can reduce the solution time to minutes while the solution time of the existing methods is in hours when deploying dozens of sensors, and the result of the proposed deployment strategy can use the same number or slightly more relay nodes to achieve the best network lifetime, but the proposed strategy is not recommended to optimize the network reliability. In short, the proposed deployment strategy can ease the efficiency bottleneck while maintaining or even improving the algorithm performance.

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References

  1. Raza, M., Aslam, N., Le-Minh, H., Hussain, S., Cao, Y., & Khan, N. M. (2018). A critical analysis of research potential, challenges, and future directives in industrial wireless sensor networks. IEEE Communications Surveys and Tutorials, 20(1), 39–95.

    Article  Google Scholar 

  2. Lu, N., Cheng, N., Zhang, N., Shen, X. M., & Mark, J. W. (2014). Connected vehicles: Solutions and challenges. IEEE Internet of Things Journal, 1(4), 289–299.

    Article  Google Scholar 

  3. Lin, J., Yu, W., Zhang, N., Yang, X. Y., Zhang, H. L., & Zhao, W. (2017). A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications. IEEE Internet of Things Journal, 4(5), 1125–1142.

    Article  Google Scholar 

  4. Li, X. M., Li, D., Wan, J. F., Vasilakos, A. V., Lai, C. F., & Wang, S. Y. (2017). A review of industrial wireless networks in the context of Industry 4.0. Wireless Networks, 23(1), 23–41.

    Article  Google Scholar 

  5. Bhuiyan, M. Z. A., Wang, G. J., Wu, J., Cao, J. N., Liu, X. F., & Wang, T. (2017). Dependable structural health monitoring using wireless sensor networks. IEEE Transactions on Dependable and Secure Computing, 14(4), 363–376.

    Article  Google Scholar 

  6. Yetgin, H., Cheung, K. T. K., El-Hajjar, M., & Hanzo, L. (2017). A survey of network lifetime maximization techniques in wireless sensor networks. IEEE Communications Surveys and Tutorials, 19(2), 828–854.

    Article  Google Scholar 

  7. Cheffena, M. (2012). Industrial wireless sensor networks: channel modeling and performance evaluation. Eurasip Journal on Wireless Communications and Networking, 8(297), 1–8.

    Google Scholar 

  8. Xiong, W., Hu, X. Y., & Jiang, T. (2016). Measurement and characterization of link quality for IEEE 802.15.4-compliant wireless sensor networks in vehicular communications. IEEE Transactions on Industrial Informatics, 12(5), 1702–1713.

    Article  Google Scholar 

  9. Hou, Y. T., Yi, S., Sherali, H. D., & Midkiff, S. F. (2005). Prolonging sensor network lifetime with energy provisioning and relay node placement. In 2005 second annual IEEE communications society conference on sensor and ad hoc communications and networks, 2005. IEEE SECON 2005 (pp. 295–304).

  10. Kenan, X., Hassanein, H., & Takahara, G. (2005). Relay node deployment strategies in heterogeneous wireless sensor networks: Multiple-hop communication case. In 2005 second annual IEEE communications society conference on sensor and ad hoc communications and networks, 2005. IEEE SECON (pp. 575–585).

  11. Wang, F., Wang, D., & Liu, J. C. (2011). Traffic-aware relay node deployment: Maximizing lifetime for data collection wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(8), 1415–1423.

    Article  Google Scholar 

  12. Bari, A., Jaekel, A., Jiang, J., & Xu, Y. F. (2012). Design of fault tolerant wireless sensor networks satisfying survivability and lifetime requirements. Computer Communications, 35(3), 320–333.

    Article  Google Scholar 

  13. Ma, C. F., Liang, W., Zheng, M., & Sharif, H. (2016). A connectivity-aware approximation algorithm for relay node placement in wireless sensor networks. IEEE Sensors Journal, 16(2), 515–528.

    Article  Google Scholar 

  14. Magan-Carrion, R., Rodriguez-Gomez, R. A., Camacho, J., & Garcia-Teodoro, P. (2016). Optimal relay placement in multi-hop wireless networks. Ad Hoc Networks, 46, 23–36.

    Article  Google Scholar 

  15. Gupta, S. K., Kuila, P., & Jana, P. K. (2016). Genetic algorithm approach for k-coverage and m-connected node placement in target based wireless sensor networks. Computers & Electrical Engineering, 56, 544–556.

    Article  Google Scholar 

  16. Magan-Carrion, R., Camacho, J., Garcia-Teodoro, P., Flushing, E. F., & Di Caro, G. A. (2017). A dynamical relay node placement solution for MANETs. Computer Communications, 114, 36–50.

    Article  Google Scholar 

  17. Bari, A., & Jiang, J. (2014). Deployment strategies for wireless sensor networks in nuclear power plants. Nuclear Technology, 187(1), 82–95.

    Article  Google Scholar 

  18. Chelli, A., Bagaa, M., Djenouri, D., Balasingham, I., & Taleb, T. (2016). One-step approach for two-tiered constrained relay node placement in wireless sensor networks. IEEE Wireless Communications Letters, 5(4), 448–451.

    Article  Google Scholar 

  19. Misra, S., Hong, S. D., Xue, G. L., & Tang, J. (2010). Constrained relay node placement in wireless sensor networks: Formulation and approximations. IEEE-ACM Transactions on Networking, 18(2), 434–447.

    Article  Google Scholar 

  20. Yang, D. J., Misra, S., Fang, X., Xue, G. L., & Zhang, J. S. (2012). Two-tiered constrained relay node placement in wireless sensor networks: Computational complexity and efficient approximations. IEEE Transactions on Mobile Computing, 11(8), 1399–1411.

    Article  Google Scholar 

  21. Misra, S., Majd, N. E., & Huang, H. (2014). Approximation algorithms for constrained relay node placement in energy harvesting wireless sensor networks. IEEE Transactions on Computers, 63(12), 2933–2947.

    Article  MathSciNet  Google Scholar 

  22. Ma, C. F., Liang, W., & Zheng, M. (2017). PSH: A pruning and substitution based heuristic algorithm for relay node placement in two-tiered wireless sensor networks. Wireless Personal Communications, 94(3), 1491–1510.

    Article  Google Scholar 

  23. Ma, C. F., Liang, W., & Zheng, M. (2017). Delay constrained relay node placement in two-tiered wireless sensor networks: A set-covering-based algorithm. Journal of Network and Computer Applications, 93, 76–90.

    Article  Google Scholar 

  24. Ma, C. F., Liang, W., & Zheng, M. (2018). Delay constrained relay node placement in wireless sensor networks: A subtree-and-mergence-based approach. Mobile Networks & Applications, 23(5), 1220–1232.

    Article  Google Scholar 

  25. Yu, W. J., Li, X. B., Li, X., & Zeng, Z. (2017). Constrained relay node deployment using an improved multi-objective artificial bee colony in wireless sensor networks. Ksii Transactions on Internet and Information Systems, 11(6), 2889–2909.

    Google Scholar 

  26. ZigBee: https://zigbee.org/zigbee-for-developers/zigbee-3-0/.

  27. Rola: https://lora-alliance.org/sites/default/files/2018-07/lorawan1.0.3.pdf.

  28. Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to algorithms. Cambridge: Massachusetts Institute of Technology.

    MATH  Google Scholar 

  29. Cheffena, M. (2016). Propagation channel characteristics of industrial wireless sensor networks. IEEE Antennas and Propagation Magazine, 58(1), 66–73.

    Article  Google Scholar 

  30. Bari, A., Jaekel, A., & Bandyopadhyay, S. (2011). Energy-efficient design techniques for large-scale, two-tiered sensor networks. Ad Hoc & Sensor Wireless Networks, 11(1–2), 137–164.

    Google Scholar 

  31. Younis, M., Youssef, M., & Arisha, K. (2003). Energy-aware management for cluster-based sensor networks. Computer Networks-the International Journal of Computer and Telecommunications Networking, 43(5), 649–668.

    Google Scholar 

  32. Chen, H. X., Nan, Y., & Yang, Y. (2018). A two-stage method for UCAV TF/TA path planning based on approximate dynamic programming. Mathematical Problems in Engineering, 2018, 1–11.

    MathSciNet  MATH  Google Scholar 

  33. Yang, H., Qi, J., Miao, Y. C., Sun, H. X., & Li, J. H. (2019). A new robot navigation algorithm based on a double-layer ant algorithm and trajectory optimization. IEEE Transactions on Industrial Electronics, 66(11), 8557–8566.

    Article  Google Scholar 

  34. Morocho-Cayamcela, M. E., Lee, H. Y., & Lim, W. S. (2019). Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions. IEEE Access, 7, 137184–137206.

    Article  Google Scholar 

  35. Karl, H., & Willig, A. (2005). Protocols and architectures for wireless sensor networks. Hoboken: Wiley.

    Book  Google Scholar 

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Acknowledgements

This research was supported by the Science and Technology Commission of Shanghai Municipality Grant Number 18510745100.

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Correspondence to Haiqing Yao.

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Yao, H., Fu, X., Yang, Y. et al. An Efficient Multi-constraint Relay Deployment Strategy for Wireless Sensor Network. Wireless Pers Commun 118, 2423–2444 (2021). https://doi.org/10.1007/s11277-021-08133-8

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  • DOI: https://doi.org/10.1007/s11277-021-08133-8

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