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Heterogeneous network selection strategy based on power wireless communication system

Published: 26 August 2021 Publication History

Abstract

In the power communication network, a network selection algorithm based on QoS guarantee of power service is proposed for the heterogeneous multi network mixed coexistence scenarios composed of 230MHz wireless private network, 1800MHz wireless private network, WLAN, WiMAX and 5G public network. Firstly, QoS parameters are selected and classified according to the network performance and power service demand index; Secondly, the subjective weight and objective weight are obtained respectively based on the analytic hierarchy process and the improved entropy weight method, and the subjective and objective weights are balanced by game theory; Finally, the multi-attribute decision theory is used to select wireless network access which can meet the QoS requirements of power service and the best performance. The simulation results show that the algorithm can effectively guarantee the QoS of power service, and realize the reasonable allocation of access network resources, balance the load and improve the utilization of resources.

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HP3C '21: Proceedings of the 5th International Conference on High Performance Compilation, Computing and Communications
June 2021
71 pages
ISBN:9781450389648
DOI:10.1145/3471274
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

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Published: 26 August 2021

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Author Tags

  1. Analytic hierarchy process
  2. Balancing network load
  3. Game theory
  4. Heterogeneous multi network hybrid
  5. Improved entropy weight method
  6. Multi attribute decision making
  7. Network selection

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