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Trusted Wireless Monitoring based on Blockchain over NB-IoT Connectivity (2004.06299v3)

Published 14 Apr 2020 in cs.CR and cs.DC

Abstract: The data collected from Internet of Things (IoT) devices on various emissions or pollution, can have a significant economic value for the stakeholders. This makes it prone to abuse or tampering and brings forward the need to integrate IoT with a Distributed Ledger Technology (DLT) to collect, store, and protect the IoT data. However, DLT brings an additional overhead to the frugal IoT connectivity and symmetrizes the IoT traffic, thus changing the usual assumption that IoT is uplink-oriented. We have implemented a platform that integrates DLTs with a monitoring system based on narrowband IoT (NB-IoT). We evaluate the performance and discuss the tradeoffs in two use cases: data authorization and real-time monitoring.

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Authors (4)
  1. Lam D. Nguyen (5 papers)
  2. Anders E. Kalør (37 papers)
  3. Israel Leyva-Mayorga (40 papers)
  4. Petar Popovski (422 papers)
Citations (23)

Summary

  • The paper introduces a novel Blockchain-based NB-IoT framework that secures and validates environmental monitoring data.
  • It rigorously evaluates DLT platforms, with findings favoring Hyperledger Fabric for efficient, private permissioned transaction handling.
  • Use case analyses reveal trade-offs such as increased downlink traffic and latency against achieving real-time, tamper-resistant monitoring.

Integration of Distributed Ledger Technology with NB-IoT for Trusted Wireless Monitoring

The presented paper explores the intersection of Distributed Ledger Technology (DLT) and Narrowband Internet of Things (NB-IoT) to enhance the security, integrity, and transparency of environmental monitoring systems. With the increasing deployment of IoT in areas like air pollution and emissions monitoring, ensuring the authenticity and reliability of collected data is crucial. This is driven by the potential economic implications for stakeholders and the susceptibility of data to tampering.

The integration of DLT, particularly Blockchain, into IoT networks positions a novel approach to circumvent traditional reliability issues associated with centralized data systems. DLT retains the data's immutability and transparency across different stakeholders, which is a significant advantage in ensuring the integrity of sensitive environmental data. NB-IoT, known for its efficiency in low-power wide-area networks, offers a promising mechanism to support DLT traffic due to its considerable uplink and downlink capacity compared to other LPWAN technologies like LoRaWAN.

Key Contributions and Results

  1. Framework Design: The paper proposes a Blockchain-powered IoT framework that leverages NB-IoT for monitoring environmental parameters. This design aims to address critical issues of trust and privacy in data transmission.
  2. DLT Platform Evaluation: The authors rigorously evaluate popular DLT platforms such as Bitcoin, Ethereum, Hyperledger Fabric, and IOTA by comparing their scalability, latency, throughput, security, and smart contract capabilities. Notably, Hyperledger Fabric emerged as the most suited platform for IoT environmental monitoring due to its efficient transaction handling and support for private-permissioned networks.
  3. Use Case Analysis: Two use cases are explored: data authorization and real-time monitoring of CO2 emissions. In the data authorization scenario, the integration demonstrated an increase in downlink traffic, illustrating the trade-offs and challenges of DLT adoption in NB-IoT. For real-time monitoring, the system managed reasonable end-to-end latency, even with larger block sizes, showing potential for practical applications.

Implications and Future Perspectives

The integration of Blockchain technology with NB-IoT offers significant potential for enhancing the trustworthiness of IoT-based monitoring systems. By shifting from traditional centralized frameworks to distributed ledgers, it improves resilience against data tampering and provides a transparent mechanism for stakeholder collaboration.

However, this integration brings inherent challenges such as increased downlink channel load and latency, as highlighted by the paper's findings. These aspects must be carefully balanced to ensure that the energy efficiency and long battery life offered by NB-IoT are not adversely affected. Future research could explore adaptive techniques to mitigate such trade-offs, potentially through optimized consensus protocols or hybrid DLT models.

Moreover, as IoT applications become more complex, the need for robust smart contract implementations will rise. Leveraging smart contracts for automated enforcement of environmental policies based on real-time data could further enhance such systems' efficiency and responsiveness.

In conclusion, while the integration of DLT with NB-IoT presents impactful advancements for secure and reliable monitoring, it also necessitates ongoing refinement and innovation to fully harness these technologies' potential in increasingly complex IoT ecosystems.

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