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The optimal 5G base station location of the wireless sensor network considering timely reliability

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  • Wang, Ning
  • Xiao, Yiyong
  • Tian, Tianzi
  • Yang, Jun

Abstract

To ensure the timely reliability of the data packets transmitted in the intelligent Internet of Things, many 5Â G base stations must be established as relay nodes. Thus, how to meet the transmission requirements with the minimum building cost has become an urgent problem. The existing studies abstract this problem into a network design problem with relays (NDPR). However, these studies only focus on whether all target areas can be covered, and ignore timely reliability. Secondly, they use the number of hops to measure the transmission delay and ignore the actual transmission process. Therefore, to solve the above problems, we study the 5Â G base station optimization location model considering timely reliability. Firstly, combining the definition of network reliability and the law of large numbers, we establish the timely reliability model, and transform it into a mixed integer linear programming (MILP) model. Secondly, considering the transmission process, we propose a novel NDPR model to optimize the base station location and propose a partial optimization algorithm to solve the large-scale case. Besides, taking the smart grid as an example, the validity of the proposed method is verified. Finally, the sensitivity analysis is carried out to provide corresponding suggestions for reducing the building cost.

Suggested Citation

  • Wang, Ning & Xiao, Yiyong & Tian, Tianzi & Yang, Jun, 2023. "The optimal 5G base station location of the wireless sensor network considering timely reliability," Reliability Engineering and System Safety, Elsevier, vol. 236(C).
    • Handle: RePEc:eee:reensy:v:236:y:2023:i:c:s0951832023002247
    DOI: 10.1016/j.ress.2023.109310
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    Cited by:

    1. Boardman, Nicholas T. & Sullivan, Kelly M., 2024. "Approximate dynamic programming for condition-based node deployment in a wireless sensor network," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    2. Wang, Ning & Tian, Tian-zi & He, Jia-tao & Zhang, Chang-zhen & Yang, Jun, 2024. "Transmission reliability evaluation of wireless sensor networks considering channel capacity randomness and energy consumption failure," Reliability Engineering and System Safety, Elsevier, vol. 242(C).
    3. Gu, Liudong & Wang, Guanjun & Zhou, Yifan, 2024. "Optimal allocation of multi-state performance sharing systems with multiple common buses," Reliability Engineering and System Safety, Elsevier, vol. 247(C).

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