Drones' Edge Intelligence over Smart Environments in B5G: Blockchain and Federated Learning Synergy

Saeed Hamood Alsamhi, Faris A. Almalki, Fatemeh Afghah, Ammar Hawbani, Alexey V. Shvetsov, Brian Lee, Houbing Song

    Research output: Contribution to journalArticlepeer-review

    100 Citations (Scopus)

    Abstract

    Edge Intelligence is an emerging technology which has attracted significant attention. It applies Artificial Intelligence (AI) closer to the network edge for supporting Beyond fifth Generation (B5G) needs. On the other hand, drones can be used as relay station (mobile drone edge intelligence) to gather data from smart environments. Federated Learning (FL) enables the drones to perform decentralized collaborative learning by developing local models, sharing the model parameters with neighbors and the centralized unit to improve global model accuracy in smart environments. However, drone edge intelligence faces challenges such as security and decentralization management, limiting its functions to support green smart environments. Blockchain is a promising technology that enables privacy-preserving data sharing in a distributed manner. There are several challenges that still need to be addressed in blockchain-based applications, such as scalability, energy efficiency, and transaction capacity. Motivated by the significance of FL and blockchain, this survey focuses on the synergy of FL and blockchain to enable drone edge intelligence for green sustainable environments. Moreover, we discuss the combination of FL and blockchain technological aspects, motivation, and framework for green smart environments. Finally, we discuss the challenges and opportunities, and future trends in this domain.

    Original languageEnglish
    Pages (from-to)295-312
    Number of pages18
    JournalIEEE Transactions on Green Communications and Networking
    Volume6
    Issue number1
    DOIs
    Publication statusPublished - 1 Mar 2022

    Keywords

    • B5G
    • Blockchain
    • Connectivity
    • Drone edge intelligence
    • Energy efficiency
    • Energy harvesting
    • Federated learning
    • Green environment
    • Privacy
    • QoS
    • Smart environment
    • Sustainable
    • Tethered drone

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