Logistics tracking system based on decentralized IoT and blockchain platform

Abstract

<p class="western" align="justify">Most of supply chain networks have encountered difficulties when trying to integrate all components and stakeholders (Customers, warehouse, transportation, and raw material production. Etc...), which make supply chain management system suffering from a lack of efficiency and transparency that make a steady increase in good’s falsification and consumer’s disappointment. All information about good’s production, storage and transportation should flow clearly during all stages of the supply chain by tracking and authenticating to avoid product’s contamination or fraud in the network. Current tracking IoT-based systems are built on top of centralized architecture and this leaves a gap for tampering and false information especially in urban area, but also the exsiting solutions cannot allow the information to be shared with authority or consumers. To effectively assess and assure traceability and transparency this paper propose an approach using a distributed ledger (blockchain) besides a configuable IoT-based system to take into account all needed data including specific case of urban area, with an opendata platform at the disposal of stockholders, authority and consumers.</p>

IoT system for the validation of conditions in shipping couriers

“…On the other hand, studies that utilized only images for the development of their solution used OpenCV. Package break prediction based on machine learning, data-driven solution with integration of IoT and Big Data frameworks [31] Decentralized IoT/Blockchain-based platform to assure transparency and traceability to stakeholders in SCM [34] Usage of piezoelectric patch type force sensors that can detect opening or falling of packages to improve real-time monitoring [35] Automatic delivery management and an inconsistency detection mechanism in real-time [36] Avoiding weight overload of transport trucks and misplacement of packages [37] Hybrid system that utilizes infrastructure-based and infrastructure-less positioning techniques for cargo-level tracking [38] Providing courier businesses real-time end-to-end tracking of parcels [39] Track, visualize and automatically manage information in the delivery process [40] Remote supervision of delivery vehicles and transported goods Many advances in the field of IoT-based cargo monitoring in logistics services have been developed, but few attempt to identify damage to carried products. Study [30] predicts potential damage based on data collected, and [34] recognizes whether a package has been opened or damaged.…”

“…1 Example of a supply chain and their FL and RL processes (adapted from [24]) 2 DSRM process [32] 3 Flowchart for the adapted PRISMA approach [33] 4 Framework architecture of REDTag Service [30] 5 Architecture based in IoT and blockchain technology [31] 6 iTape [34] 7 Cloud database [34] 8 Website Monitoring and Management [35] 9 Carrier station architecture for the deployment of SafeTrack [35] 10 eTracer platform architecture [38] 11 Remote monitoring system architecture [40] 12 System's architecture and layers 13…”

“…Another study [31] used a programmable IoT system with a decentralized based blockchain platform to track logistics in real-time and assure package safety and quality. The system was equipped with various sensors that recorded temperature, light, humidity, vibration, and geo-position.…”

“…Midaoui et al [31] provides a solution for a logistics tracking system that combines IoT and blockchain technologies. IoT is utilized as a means to monitor the quality of the products, and the blockchain service is used for data storage and transmission.…”

Hermitan matrices based malicious cognitive radio detection and bayesian method for detecting primary user emulation attack

“…In this approach, a prediction algorithm to optimize communication and sensing functions. This method can minimized the energy utilization in the wireless sensor network (WSN) [25]. A swarm intellect optimization technique is used to detect the mischievous nodes and enhance the authentication.…”