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A Semantic Knowledge based Context-aware Formalism for Smart Border Surveillance System

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Abstract

This paper presents a semantic knowledge-based context-aware smart border surveillance system to monitor suspicious activities across the border or nearby red zones and assists in handling hazardous situations using context acquisition, observation, monitoring, and generating alerts without or with minimal human intervention. The proposed formalism has an intelligent decision support mechanism to take decisions intelligently on behalf of the user, infer a plan to prevent the damages caused by the suspicious entities, and adapt itself according to the current context of use. We propose algorithms for a smart border vigilance system to present the system flow on detecting suspicious activities in the red zone and rescuing from hazards. We develop a simple case study of a smart border surveillance system and simulate the agents’ reasoning process using NetLogo simulator to analyze the behaviour in terms of efficiency and efficacy of the system.

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Data availability

The datasets generated and/or analysed during the current study are available from the corresponding author on reasonable request.

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Funding

The authors did not receive any funding for this study.

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Authors and Affiliations

  1. Department of Computer Science, University of South Asia, Lahore, Pakistan

    Makia Nazir

  2. Department of Software Engineering, University of Lahore, Lahore, Pakistan

    Hafiz Mahfooz Ul Haque & Kiran Saleem

Authors
  1. Makia Nazir
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  2. Hafiz Mahfooz Ul Haque
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  3. Kiran Saleem
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Corresponding author

Correspondence to Makia Nazir.

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University of Lahore Research Ethics Committee does not have any objection for this research work and this committee does not require any ethical approval to publish this article.

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Nazir, M., Haque, H.M.U. & Saleem, K. A Semantic Knowledge based Context-aware Formalism for Smart Border Surveillance System. Mobile Netw Appl 27, 2036–2048 (2022). https://doi.org/10.1007/s11036-022-01987-7

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  • DOI: https://doi.org/10.1007/s11036-022-01987-7

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