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An adaptive mobility-aware secure handover and scheduling protocol for Earth Observation (EO) communication using fog computing

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Abstract

In the domain of Earth Observation (EO) communication, the existing cloud system faces significant challenges, including latency in data transmission, insufficient bandwidth, and concerns over data security and privacy. These issues are compounded by the need for consistent service availability and reliability, highlighting a need for a more adaptive and secure approach to data handling and communication. The traditional reliance on cloud computing, while beneficial for storage and computational needs, falls short in addressing these real-time service demands due to inherent latency and security vulnerabilities. This research identifies these critical shortcomings and proposes an adaptive mobility-aware secure handover and scheduling protocol for EO communication, utilizing the potential of fog computing to bridge the gap. The proposed model is meticulously designed to mitigate the identified issues by leveraging the proximity of fog computing infrastructure to data sources, thus reducing latency, and by incorporating advanced security measures to safeguard against data breaches and ensure privacy. The proposed model presents a proactive handover strategy and scheduling protocol, which are specifically tailored to accommodate the mobile nature of IoT devices within the EO ecosystem. This approach ensures seamless service continuity and enhances data integrity, even during frequent handovers between fog nodes which is a common scenario due to the limited coverage area of each node. By decentralizing data processing and adopting a mobility-aware framework, the protocol effectively addresses the challenges of service discontinuity and security vulnerabilities. A comprehensive evaluation of the proposed protocol against existing state-of-the-art methods reveals notable improvements of a 5% increase in data integrity preservation, an 8% reduction in communication delay, and a 4% enhancement in both execution time and energy consumption.

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The dataset associated with this research is available upon request from the corresponding author.

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Funding

This research was conducted without the receipt of any external funding. All aspects of the study, including design, data collection, analysis, interpretation, and manuscript preparation, were carried out solely through personal support.

Author information

Authors and Affiliations

  1. Apex Institute of Technology, Chandigarh University, Gharuan, Punjab, 140413, India

    Navjeet Kaur

  2. Infosys Limited, Chandigarh, 160601, India

    Ayush Mittal

  3. Department of Computer Science and Engineering, Amity University Haryana, Gurugram, Haryana, India

    Surjeet Dalal

  4. Koneru Lakshmaiah Education Foundation, Green Fields, Vaddeswaram, Guntur District, A.P., 522302, India

    Yogesh Kumar Sharma

  5. School of Computing Science & Engineering, Galgotias University, Greater Noida, NCR, UP, India

    Umesh Kumar Lilhore & Sarita Simaiya

Authors
  1. Navjeet Kaur
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  2. Ayush Mittal
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  3. Umesh Kumar Lilhore
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  4. Sarita Simaiya
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  5. Surjeet Dalal
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  6. Yogesh Kumar Sharma
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Contributions

Navjeet Kaur, Ayush Mittal, Umesh Kumar Lilhore, Sarita Simaiya, Surjeet Dalal, and Yogesh Kumar Sharma collaborated closely, each making significant contributions to the research. Kaur and Mittal led in study design and data analysis, Lilhore focused on data collection and manuscript preparation, Simaiya contributed to research conception and manuscript review, while Dalal played a role in study design, data analysis, and manuscript revisions. Sharma contributed to the study conception, design, data analysis, and final manuscript approval. Together, they ensured a cohesive and impactful research outcome.

Corresponding author

Correspondence to Umesh Kumar Lilhore.

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The authors declare no competing interests.

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Communicated by H. Babaie

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Kaur, N., Mittal, A., Lilhore, U.K. et al. An adaptive mobility-aware secure handover and scheduling protocol for Earth Observation (EO) communication using fog computing. Earth Sci Inform (2024). https://doi.org/10.1007/s12145-024-01291-w

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