Abstract
Nowadays, most of the major industries, such as healthcare, are losing millions of valuable data and information, and therefore, many of these major industries have implemented blockchain technology in order to save and secure their valuable data since blockchain's major feature is to store information in an immutable and permanent manner. Blockchain provides greater transparency, enhanced security, instant traceability, increased efficiency, and speed. Though when we talk about blockchain, it is mainly the mining of transactions that draws our attention and of course, mining thus consumes huge computational power. In this chapter, we have implemented a lightweight blockchain in smartphones. We have built a simple blockchain that can store the contents of any smartphone user and this lightweight blockchain can perform all the operations that a normal blockchain does, like the mining of transactions, updating the chain, and checking if there is any pending transaction. From our experimental study, we have observed that implementing blockchain in smartphones does consume a huge computational power, that is, the smartphone starts to heat up and the battery power decreases rapidly.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Back A (1997) Hashcash. http://www.cypherspace.org/adam/hashcash/
Bardinova Y, Zhidanov K, Bezzateev S, Komarov M, Ometoy A (2020) Measurements of mobile blockchain execution impact on smartphone battery. Data 5(3):66
Dwork C, Naor M (1992) Pricing via processing or combatting junk mail. In: Annual international cryptology conference, Springer, pp 139–147
Eyal I, Gencer AE, Sirer EG, Van Renesse R (2016) Bitcoin-ng: a scalable blockchain protocol. In: 13th USENIX symposium on networked systems design and implementation (NSDI 16), pp 45–59
Franklin MK, Malkhi D (1997) Auditable metering with lightweight security. In: International conference on financial cryptography. Springer, pp 151–160
Jiao Y, Wang P, Niyato D, Suankaewmanee K (2019) Auction mechanisms in cloud/fog computing resource allocation for public blockchain networks. IEEE Trans Parallel Distrib Syst 30(9):1975–1989
Juels A (1999) Client puzzles: a cryptographic countermeasure against connection depletion at tacks. In: Proceedings on networks and distributed system security symposium (NDSS)
King S (2013) Primecoin: Cryptocurrency with prime number proof-of-work. July 7th, 1(6). Available at https://c3.coinlore.com/pdf/primecoin-white-paper.pdf
Kumar G, Saha R, Rai MK, Thomas R, Kim TH (2019) Proof-of-work consensus approach in blockchain technology for cloud and fog computing using maximization-factorization statistics. IEEE Internet Things J 6(4):6835–6842
Miller A, Kosba A, Katz J, Shi E (2015) Nonoutsourceable scratch-off puzzles to discourage bitcoin mining coalitions. In: Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security 2015, pp 680–691
Nakamoto S (2008) Bitcoin: A Peer-to-Peer Electronic Cash System. Available at SSRN: https://ssrn.com/abstract=3440802 or https://doi.org/10.2139/ssrn.3440802
O'Dwyer KJ, Malone D (2014) Bitcoin mining and its energy footprint. In: Hamilton Institute National University of Ireland Maynooth, ISSC 2014/CIICT 2014, Limerick, June 26–27
Serjantov A, Lewis S (2003) Puzzles in p2p systems. In: 8th CaberNet Radicals Workshop, Corsica
Sharma DK, Pant S, Sharma M, Brahmachari S (2020) Cryptocurrency mechanisms for blockchains: models, characteristics, challenges, and applications. In: Handbook of research on blockchain technology. Academic Press, 323–348
Sompolinsky Y, Zohar A (2013) Accelerating bitcoin's transaction processing. Fast Money Grows on Trees, Not Chains. IACR Cryptology EPrint Archive, vol. 881. Available at https://eprint.iacr.org/2013/881
Sompolinsky Y, Zohar A (2015) Secure high-rate transaction processing in bitcoin. In: International conference on financial cryptography and data security. Springer, pp 507–527
Tang S, Liu Z, Chow SS, Liu Z, Long Y, Liu S (2017) Forking-free hybrid consensus with generalized proof-of-activity. IACR Cryptol 2017:367
Tromp J (2014) Cuckoo Cycle: a memory-hard proof-of-work system. IACR Cryptol Arch 2014:59
Uddin MA, Stranieri A, Gondal I, Balasurbramanian V (2019) A lightweight blockchain based framework for underwater IoT. Electronics 8(12):1552
Zheng Z, Xie S, Dai H, Chen X, Wang H (2017) An overview of blockchain technology: architecture, consensus, and future trends. In: 2017 IEEE 6th International Congress on Big Data
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Kalita, K.P., Rani, E., Boro, D., Bhattacharyya, D.K. (2024). Blockchain with Adjustable Proof-of-Work Consensus Mechanism for Mobile Devices. In: Deka, J.K., Robi, P.S., Sharma, B. (eds) Emerging Technology for Sustainable Development. EGTET 2022. Lecture Notes in Electrical Engineering, vol 1061. Springer, Singapore. https://doi.org/10.1007/978-981-99-4362-3_48
Download citation
DOI: https://doi.org/10.1007/978-981-99-4362-3_48
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-99-4361-6
Online ISBN: 978-981-99-4362-3
eBook Packages: Computer ScienceComputer Science (R0)