Decentralized and collaborative approach to mobile crowdsensing by implementing continuous feedback between the nodes

Abstract

Mobile Crowd Sensing (MCS) is an effective way to tackle day-to-day life problems nowadays, from Google Maps to Uber cabs. It is an effective and efficient way of data collection, processing and delivery of results to the users, from the users and for the users. All the entities that make up a Mobile crowd sensing system be it a worker, requester or miner can be represented as a node. All the nodes interact together to make a trustworthy system where there is a limited or no scope of deception. The traditional approach to crowd sensing gives little importance to communication between the nodes and in most cases, it assumes the communication happens through a secure channel and ignores the potential hazards. We propose a novel blockchain-based decentralized and collaborative approach to communicate between the nodes which would help workers/users to interact in real-time and solve conflicts should there be any. To decentralize we use the blockchain technology to overcome single point of failure which is a major issue, as mentioned peer-to-peer link between nodes is more expensive only but it improvise the security and privacy concerns by using the consensus mechanism. With the aim of improving the traditional communication technology between the nodes, we propose a mechanism based on Kafka, blockchain and RSA encryption for continuous exchange of data between the nodes which would help to enhance the security and efficiency of the system.

Keywords

• Kafka
• Smart contract
• Miners
• Feedback
• Peer to peer
• Proof of work