首页|M-SOS: Mobility-Aware Secured Offloading and Scheduling in Dew-Enabled Vehicular Fog of Things

M-SOS: Mobility-Aware Secured Offloading and Scheduling in Dew-Enabled Vehicular Fog of Things

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  • NETL
  • NSTL
  • IEEE
The gradual advancement of Internet-connected vehicles has transformed roads and highways into an intelligent ecosystem. This advancement has led to a widespread adoption of vehicular networks, driven by the enhanced capabilities of automobiles. However, managing mobility-aware computations, ensuring network security amidst instability, and overcoming resource constraints pose significant challenges in heterogeneous vehicular network applications within Fog computing. Moreover, the latency overhead remains a critical issue for tasks sensitive to latency and deadlines. The objective of this research is to develop a Mobility-aware Secured offloading and Scheduling (M-SOS) technique for a Dew-enabled vehicular Fog-Cloud computing system. This technique aims to address the issues outlined above by moving the computations closer to the edge of the network. Initially, a Dew-facilitated vehicular Fog network is proposed, leveraging heterogeneous computing nodes to handle diverse vehicular requests efficiently and ensuring uninterrupted services within the vehicular network. Further, task management is optimized using a Fuzzy logic that categorizes tasks based on their specific requirements and identifies the target layers for offloading. Besides, a cryptographic algorithm known as SHA-256 RSA enhances security. Moreover, a novel Linear Weight-based JAYA scheduling algorithm is introduced to assign tasks to appropriate computing nodes. The proposed algorithm surpasses the comparable algorithms by 23% in terms of AWT, 18% in terms of latency rate, 14% and 23% in terms of meeting the hard-deadline ( $H\_d$ ) and soft-deadline ( $S\_d$ ), and 35% in terms of average system cost, respectively.

Processor schedulingCloud computingSecurityInternet of ThingsDew computingElectronic mailEdge computingCostsDelaysServers

Goluguri N. V. Rajareddy、Kaushik Mishra、Santosh Kumar Majhi、Kshira Sagar Sahoo、Muhammad Bilal

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Department of Computer Science and Engineering, GITAM Deemed to be University, Visakhapatnam, India

Department of Computer Science and Engineering, Manipal Academy of Higher Education, Manipal Institute of Technology Bengaluru, Manipal, India

Department of CSIT, Guru Ghasidas Vishwavidyalaya, Bilaspur (Central University) (C.G.), Bilaspur, India

Department of Computer Science and Engineering, SRM University, Amaravati, Andhra Pradesh, India

School of Computing and Communications, Lancaster University, Lancaster, U.K.

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2025

10.1109/TITS.2025.3539839

IEEE transactions on intelligent transportation systems

IEEE transactions on intelligent transportation systems

ISSN：
年,卷(期)：2025.26(4)