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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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.
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.
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.
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.
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.
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.
Cheffena, M. (2012). Industrial wireless sensor networks: channel modeling and performance evaluation. Eurasip Journal on Wireless Communications and Networking, 8(297), 1–8.
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.
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).
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).
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.
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.
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.
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.
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.
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.
Bari, A., & Jiang, J. (2014). Deployment strategies for wireless sensor networks in nuclear power plants. Nuclear Technology, 187(1), 82–95.
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.
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.
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.
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.
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.
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.
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.
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.
Cormen, T. H., Leiserson, C. E., Rivest, R. L., & Stein, C. (2009). Introduction to algorithms. Cambridge: Massachusetts Institute of Technology.
Cheffena, M. (2016). Propagation channel characteristics of industrial wireless sensor networks. IEEE Antennas and Propagation Magazine, 58(1), 66–73.
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.
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.
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.
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.
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.
Karl, H., & Willig, A. (2005). Protocols and architectures for wireless sensor networks. Hoboken: Wiley.
This research was supported by the Science and Technology Commission of Shanghai Municipality Grant Number 18510745100.
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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 (2021). https://doi.org/10.1007/s11277-021-08133-8
- Wireless sensor network
- Constrained relay node deployment
- Multiple constraints
- Shortest path search
- Integer linear program