Paper Info
Title
Pattern Matching Based Sensor Identification Layer for an Android Platform.
Abstract
As sensor-related technologies have been developed, smartphones obtain more information from internal and external sensors. This interaction accelerates the development of applications in the Internet of Things environment. Due to many attributes that may vary the quality of the IoT system, sensor manufacturers provide their own data format and application even if there is a well-defined standard, such as ISO/IEEE 11073 for personal health devices. In this paper, we propose a client-server-based sensor adaptation layer for an Android platform to improve interoperability among nonstandard sensors. Interoperability is an important quality aspect for the IoT that may have a strong impact on the system especially when the sensors are coming from different sources. Here, the server compares profiles that have clues to identify the sensor device with a data packet stream based on a modified Boyer-Moore-Horspool algorithm. Our matching model considers features of the sensor data packet. To verify the operability, we have implemented a prototype of this proposed system. The evaluation results show that the start and end pattern of the data packet are more efficient when the length of the data packet is longer.
Year
DOI
Venue
2018
10.1155/2018/4734527
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
Field
DocType
Volume
Android (operating system),Data format,Interoperability,Computer science,Internet of Things,Network packet,Computer network,Operability,Pattern matching,Personal health
Journal
2018
ISSN
Citations 
PageRank 
1530-8669
0
0.34
References 
Authors
10
7
Name
Order
Citations
PageRank
Hong Min15713.34
Taesik Kim231.74
Junyoung Heo328827.60
Tomás Cerný47323.16
Sriram Sankaran587.61
Bestoun S. Ahmed615918.86
Jinman Jung72414.63