Real Time Object Tracking and Protection: Hybrid Logistics Architecture in Ubiquitous Environments (HLAiUE)

Abstract

Realtime object security and vehicle tracking have not been successfully implemented in commercial vehicles due to limitations in processing large amount of data and hardware capabilities. This paper aimed to improve the object security, processing power and data storage in a distributed environment. The proposed system (HLAiUE) consists of a three-layer architecture, first layer is used to collect data, second layer distributes the data processing and the last layer stores the processed data. The designed architecture improves the performance and security by applying data compression algorithms in a real time and removes the hardware dependency by processing the data in a distributed environment using Hadoop and Spark framework. The results demonstrate that the proposed architecture improves processing time by 80% compared to other algorithms and provides more reliability, security and flexibility due to ubiquity and the absence of hardware dependency in comparison with other existing architectures which are hardware dependent. Also, using an NOSQL database server in a distributed environment optimizes data storage by up to 80% and is flexible because all the infrastructure is in a distributed environment. The proposed architecture improves the object tracking by implementing compression technique in a distributed architecture. Thus, this system improves the accuracy up to 80% without depending on hardware resources.