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Proof of Work vs. Proof of Stake for IoT Blockchains: A Critical Review of Energy, Scalability, and Security Trade-offs

Abstract

Blockchain technology offers a promising foundation for trustworthy, auditable communication in Internet of Things (IoT) networks. In such settings, the consensus protocol is the primary determinant of feasibility because devices operate under tight constraints in energy, computation, latency, and bandwidth. This paper delivers a structured comparative review of Proof of Work (PoW) and Proof of Stake (PoS) in the context of IoT. We first articulate their operating principles, security assumptions, and threat models, then evaluate trade-offs across throughput, latency, scalability, energy consumption, hardware requirements, and attack resistance. While PoW provides strong probabilistic finality and robust security under open membership, its high energy cost and mining difficulty make it poorly aligned with low-power sensor/actuator nodes. PoS and PoS-inspired variants reduce resource use and enable faster confirmation, but require careful design to mitigate concentration risks, long-range and nothing-at-stake attacks, and to preserve decentralization. Beyond these canonical schemes, we review emerging alternatives tailored to IoT, including lightweight PoW, committee-based BFT hybrids, and DAG-based ledgers that decouple consensus from transaction validation. We synthesize implementation considerations, including identity and stake management, clock synchronization, network churn, and intermittent connectivity, and outline selection guidelines for common IoT deployment patterns (edge-centric, gateway-assisted, and intermittently connected swarms). Our analysis indicates that PoS and related frameworks are generally better suited for IoT, particularly when combined with hierarchical or hybrid designs. The review concludes with open research directions and a pragmatic checklist for researchers and practitioners evaluating consensus for constrained IoT systems.

Research topics

  • Blockchain Technology Applications and Security
  • Distributed systems and fault tolerance
  • IoT and Edge/Fog Computing

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DOI: 10.1109/softt67007.2025.11213241

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