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Interface management in multi-interface mobile communication: a technical review

Author

Listed:
  • Monika Rani

    (IKG Punjab Technical University)

  • Kiran Ahuja

    (DAV Institute of Engineering & Technology)

Abstract

In present days, wireless heterogeneous networks include a variety of interfaces that can be used between users and various base stations. In this multi-interface environment, it is mandatory for a model to interface and synchronize information to lessen the errors, related to continuing communication like latency, erroneous data, disconnecting and many more. Interface management (IM) manages these activities directly to ensure a successful exchange of important information. IM is a set of rules to allot channels for different interfaces in the multichannel/multi-interface atmosphere. Several methods which exposed the distinguishable properties of the interface management have been reveiwed. Moreover, interface management is the leading part of wireless heterogeneous networks as it plays a significant role in effective communication. Therefore, the recent developments in interface management systems are reviewed and the probable challenges of such systems are investigated. Interface Management is a system where a variety of artificial intelligence (AI) techniques can be used to combine functions and information from a variety of interfaces. The main reason of this evaluation is to lighten up all relevant literature related to interfaces, interface selection, interface management, the level of development and possibilities of AI approaches to make best system.

Suggested Citation

  • Monika Rani & Kiran Ahuja, 2022. "Interface management in multi-interface mobile communication: a technical review," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2105-2117, October.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:5:d:10.1007_s13198-022-01629-x
    DOI: 10.1007/s13198-022-01629-x
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    References listed on IDEAS

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    1. Khalid M. Hosny & Marwa M. Khashaba & Walid I. Khedr & Fathy A. Amer, 2020. "An Efficient Neural Network-Based Prediction Scheme for Heterogeneous Networks," International Journal of Sociotechnology and Knowledge Development (IJSKD), IGI Global, vol. 12(2), pages 63-76, April.
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