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

• Published in: Earth science informatics 2024-06, Vol.17 (3), p.2429-2446
• Main Authors: Kaur, Navjeet, Mittal, Ayush, Lilhore, Umesh Kumar, Simaiya, Sarita, Dalal, Surjeet, Sharma, Yogesh Kumar
• Format: Article
• Language: English
• Subjects: Cloud computing; Cloud systems; Communication; Cybersecurity; Data integrity; Data processing; Data transmission; Earth and Environmental Science; Earth Sciences; Earth System Sciences; Edge computing; Energy consumption; Fog; Information Systems Applications (incl.Internet); Integrity; Network latency; Ontology; Privacy; Scheduling; Simulation and Modeling; Space Exploration and Astronautics; Space Sciences (including Extraterrestrial Physics
• ISSN: 1865-0473; 1865-0481
• DOI: 10.1007/s12145-024-01291-w

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.