Abstract

RFID events are a large volume of stream data that continuously come out for tracking and monitoring objects. Many studies have been done to detect a complex event in the RFID stream. However, the existing studies have many problems which increase unnecessary operations when complex events do not satisfy minimum conditions. In this paper, we propose a new scheme to detect complex events when the minimum conditions are satisfied to remove unnecessary operations. To check the minimum conditions of the complex events, we register complex queries in a query index. We detect complex events using the query index and bitmap. To demonstrate the superiority of the proposed method, we compare it with the existing methods through various experiments. As a result, it is shown that the proposed method outperforms the existing methods as a whole.

Highlights

  • RFID data are a large volume of stream data sensed by RF waves continuously for tracking and monitoring objects [1]

  • If a complex event associated with the primitive event exists in the query index, we evaluate whether the minimum conditions are satisfied in the complex query repository

  • The registration of a complex event means that it is translated into a continuous query, a query index is organized in the logical grid, and a bitmap is assigned for storing the history of the primitive events

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Summary

Introduction

RFID data are a large volume of stream data sensed by RF waves continuously for tracking and monitoring objects [1]. An emerging class of applications such as supply chain management, security, indoor location service, healthcare, and environmental monitoring requires the events to be filtered and correlated for complex pattern detection [4,5,6,7] They require to be transformed to new events that reach a semantic level appropriate for the applications [8]. Complex query processing schemes have been studied to detect a complex event over RFID stream. The existing schemes perform unnecessary operations to detect the complex events in the large-scale primitive events occurred from a lot of readers. It causes the low throughput and outputs with low quality.

Related Work
The Proposed Complex Event Processing
B1 A2 B2 A3 B3 A4 B4
Update the occurrence information of complex events
Experimental Evaluation
Conclusion
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