Research on Optimization of Node Deployment in Wireless Sensor Networks Driven by Artificial Intelligence

Peng Sun

doi:10.62051/za9bq189

Authors

Peng Sun

DOI:

https://doi.org/10.62051/za9bq189

Keywords:

Artificial Intelligence; Wireless Sensor Network; Node Deployment Optimization.

Abstract

The security deployment of WSN (Wireless Sensor Network) nodes also needs to ensure the performance of node coverage, which affects the accuracy and integrity of information detected by the network and the quality of service of the network. It is not enough to improve the network coverage and network performance of nodes only by adjusting the network topology of WSN, so there will be a problem of excessive node density in the network deployment area, which will lead to node redundancy and coverage hole, which will eventually affect the accuracy and integrity of monitoring information. In this paper, the deployment of WSN nodes driven by AI(Artificial Intelligence) is optimized. The data fusion theory is introduced, and the data fusion model is used to integrate node synchronization task scheduling, dynamic node deployment and dynamic network topology recovery.

Downloads

Download data is not yet available.

References

Li L, Jiang L, Liu Z. Optimization Research of Artificial Intelligence and Wireless Sensor Networks in Smart Pension [J]. Hindawi Limited, 2021, 36(17):22-30.

Wang W. Deployment and optimization of wireless network node deployment and optimization in smart cities[J]. Computer Communications, 2020, 155(Apr.):117-124.DOI:10.1016/j.comcom.2020, 15(4):022-036.

Sun Z, Shen D. Multi Objective Security Optimization Nodes Deployment for Wireless Sensor Network[J]. Chinese Journal of Sensors and Actuators, 2018, 31(12):1882-1888.

Verma S G N. Wireless Sensor Network Path Optimization Using Sensor Node Coverage Area Calculation Approach[J]. Wireless personal communications: An International Journal, 2021, 116(1):5-9.

Peng D, Gao Y. Proximity-Distance Mapping and Jaya Optimization Algorithm Based on Localization for Wireless Sensor Network[J]. International Journal of Pattern Recognition and Artificial Intelligence, 2022, 30(16):18-30.

Kim S S. Binary Swarm Intelligence for Wireless Sensor Network Design[J]. Industrial Engineering & Management Systems, 2020, 19(6):19-24.

Karimi-Bidhendi S, Guo J, Jafarkhani H. Energy-Efficient Node Deployment in Heterogeneous Two-Tier Wireless Sensor Networks with Limited Communication Range[J]. IEEE Transactions on Wireless Communications, 2021, 15(4):10-15.

Wang W. Optimization of wireless network node deployment in smart city based on adaptive particle swarm optimization[J]. Journal of intelligent & fuzzy systems: Applications in Engineering and Technology, 2020, 39(41):15-20.

Wang Z. Node Deployment Optimization in Wireless Sensor Networks[J]. Journal of Physics Conference Series, 2020, 1650(25):032057-032066.

José M. Lanza-Gutiérrez, Nuria Caballé, Juan A. Gómez-Pulido, et al. Toward a Robust Multi-Objective Metaheuristic for Solving the Relay Node Placement Problem in Wireless Sensor Networks[J]. Sensors, 2019, 19(3):677-683.