Optimizing the Age of Information for Blockchain Technology With Applications to IoT Sensors

Blockchain is an emerging technology that uses distributed ledgers for transparent, reliable, and traceable information exchange among network nodes. Blockchain and its 3rd generation Tangle-based implementations quickly extend their territory beyond crypto-currency to a broad range of applications using fee-less transactions over the Internet of things (IoT). However, this technology suffers from sluggishness in consensus-based validation of information that restricts its applicability to time-sensitive applications such as smart health. In this letter, we propose an optimized policy for sampling rate by IoT sensors that utilize blockchain and Tangle technologies for their transmission with the goal of minimizing the age of information (AoI) experienced by the end-users, considering both processing and networking resource constraints. Simulation results confirm the efficacy of the proposed algorithm compared to the current fixed-rate update policy. Further, a closed-form solution is obtained for the optimal sampling rate in a network of homogeneous IoT nodes as a benchmark system.

[1]  Martin Reisslein,et al.  Connection Establishment in LTE-A Networks: Justification of Poisson Process Modeling , 2017, IEEE Systems Journal.

[2]  Jörg Henkel,et al.  Computation offloading and resource allocation for low-power IoT edge devices , 2016, 2016 IEEE 3rd World Forum on Internet of Things (WF-IoT).

[3]  Eytan Modiano,et al.  Optimizing Age of Information in Wireless Networks with Throughput Constraints , 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications.

[4]  Melanie Swan,et al.  Blockchain: Blueprint for a New Economy , 2015 .

[5]  Serguei Popov,et al.  Equilibria in the Tangle , 2017, Comput. Ind. Eng..

[6]  Biswajit Mishra,et al.  IoT enabled environmental monitoring system for smart cities , 2016, 2016 International Conference on Internet of Things and Applications (IOTA).

[7]  Abolfazl Razi,et al.  Maximizing Energy Efficiency of Cognitive Wireless Sensor Networks With Constrained Age of Information , 2017, IEEE Transactions on Cognitive Communications and Networking.

[8]  Elaine Shi,et al.  On Scaling Decentralized Blockchains - (A Position Paper) , 2016, Financial Cryptography Workshops.

[9]  Roy D. Yates,et al.  Real-time status: How often should one update? , 2012, 2012 Proceedings IEEE INFOCOM.

[10]  Zhisheng Niu,et al.  Timely Status Update in Massive IoT Systems: Decentralized Scheduling for Wireless Uplinks , 2018, ArXiv.

[11]  Iddo Bentov,et al.  Proof of Activity: Extending Bitcoin's Proof of Work via Proof of Stake [Extended Abstract]y , 2014, PERV.

[12]  Holger Paul Keeler,et al.  Bitcoin blockchain dynamics: The selfish-mine strategy in the presence of propagation delay , 2015, Perform. Evaluation.

[13]  Internet of Things: Underlying Technologies, Interoperability, and Threats to Privacy and Security , 2016 .