DEVELOPMENT OF AN ENHANCED DATA ANNOTATION AND FILTERINGTECHNIQUE FOR IOT SENSORS
| dc.contributor.author | EMMANUEL JERRY DAUDA | en |
| dc.creator | EMMANUEL JERRY DAUDA | en |
| dc.date.accessioned | 2023-09-22T18:51:13Z | |
| dc.date.available | 2023-09-22T18:51:13Z | |
| dc.date.issued | 2019-12-12 | en |
| dc.description.abstract | Internet of Things (IoT) applications depend on data that are meaningful to the machine to efficiently function. Amongst other sources, data are generated by different types of sensors such as proximity sensor, pressure sensor, temperature sensor and ultrasonic sensor. The diversity of these sensors reflects on the data they generate. As a result, IoT applications encounter challenges understanding and processing these data. The most recent solution to this problem is data filtering and annotation on gateways. This has also resulted into a bottleneck processing thereby causing delay and inconsistencies in processed data. Consequently, an enhanced data preparation and annotation technique is proposed. This approach uses a distributed programming model for sensory data processing. The proposed approach seeks to develop a Hadoop MapReduce algorithm which efficiently filters and annotates sensory data in a distributed manner. To evaluate the feasibility of the proposed approach, data generated by sensors are stored on Hadoop Distributed File System (HDFS) and are processed by a MapReduce job. Semantic Web technologies such as Extensible Markup Language (XML) and Resource Description Framework (RDF) were used for the data annotation. Two categories of experiments were conducted and comparison between the proposed system and the existing system were done based on data size and processing time. This dissertation concludes that the proposed system has 61.65% processing time and 13.41% data size enhancement respectively over the existing system | en |
| dc.identifier.uri | https://teras.ng/api/asset/document/2d24098f-9abb-4701-960d-c71acfd7f602 | en |
| dc.identifier.uri | https://teras.ng/catalog-item/e097aa17-ad4f-41c1-8618-ae71f71dc65b | en |
| dc.identifier.uri | http://dspace.teras-network.net:4000/handle/123456789/41702 | |
| dc.publisher | Ahmadu Bello University Zaria | en |
| dc.title | DEVELOPMENT OF AN ENHANCED DATA ANNOTATION AND FILTERINGTECHNIQUE FOR IOT SENSORS | en |
| dc.type | Post Graduate Theses | en |
| thesis.degree.level | Masters | en |
| thesis.matric.number | P16PSCS8070 | en |