Blockchain-based multi-skill mobile crowdsourcing services

Abstract

With the boom in 5G technology, mobile spatial crowdsourcing has shown great dynamism in industrial mobile communications and edge computing node management. But the traditional crowdsourcing system is not advanced enough to adapt to the new environment. Typically, traditional crowdsourcing workflow is hosted by a centralized crowdsourcing platform. However, the centralized crowdsourcing platform faces the following problems: (1) single point of failure, (2) user privacy leakage, (3) subjective arbitration, (4) additional service fee, and (5) non-transparent task assignment process. To improve those problems, we replaced the centralized crowdsourcing platform with a decentralized blockchain infrastructure. And we analyzed the challenge problems of multi-skilled spatial crowdsourcing tasks in the blockchain crowdsourcing system. In addition, a crowdsourcing task allocation algorithm has been proposed, which implements a transparent task distribution process and can adapt to the computing-constrained environment on the blockchain. Compared with the TSWCrowd blockchain-based crowdsourcing model, our system has a higher task allocation rate under the same conditions. And the experimental result shows our work has good economic feasibility, which decentralizes the crowdsourcing process and significantly reduces the additional consumption of the crowdsourcing process.

PDMSC: privacy-preserving decentralized multi-skill spatial crowdsourcing

“…According to Xu et al (2022), we involve workers with skills intersecting with the task requirements in the candidate review team. The final review team is selected from the candidate review team using the last two digits of the hexadecimal representation of the hashed taskID , ensuring diversity and fluidity in the composition of the review team.…”

“…However, some mobile spatial crowdsourcing tasks can be quite complex, requiring skilled workers with specific expertise. Multiskill mobile crowdsourcing (Xu et al , 2022) addresses these complex mobile spatial crowdsourcing scenarios, making it more aligned with people’s daily lives. Current crowdsourcing processes are typically managed by centralized crowdsourcing platforms.…”

Task Allocation Methods and Optimization Techniques in Edge Computing: A Systematic Review of the Literature

“…Optimization (RQ2) Applied Network Type (RQ3) Distributed task allocation [18] FL WHAB [22] OFB VANETs [24] GT, RL MEC [29] MVAA MEC [45] PSO IoT [50] GT IoT [55] Hybrid MEC [59] CW Blockchain [61] BSUB MEC [63] FL MEC [31] DLA IoT [33] RL EC [34] CFG C-RAN [35] AsP IoT [36] GSO MEC, Fog [65] AsP NDN-IoT [66] AB, GA Wireless, cellular, satellite [67] Heuristic MEC [12] PFA EC [77] MINLP EC [17] ACO IoT [27] Heuristic IoT…”

“…Recently, a work was presented by Weize Xu et al [59] discussing a decentralized crowdsourcing system and a task assignment algorithm used to address the issues of task allocation. The authors offer a blockchain-based solution to address the problems with traditional, centralized crowdsourcing platforms, such as user privacy leaks and extra service charges, for multi-skill mobile crowdsourcing assignments.…”

Image copyright protection system based on blockchain and binarization ORB algorithm

“…However, this scheme requires storing copyright information on a centralized server or in the cloud, posing risks of a single point of failure or malicious attacks. Blockchain [3], with its decentralized, traceable, and reliable characteristics, has found widespread applications in various domains such as crowdsourcing [4] and finance [5]. Researchers have also proposed several blockchain-based copyright protection solutions.…”