Multilevel object tracking on big graph data using interval type-2 fuzzy systems in wireless multimedia sensor networks

Download
2020
Küçükkeçeci, Cihan
Wireless multimedia sensor networks (WMSN) are the key elements of automation systems applied in different domains from home security to immigrant surveillance at a border station. In most of the applications, sensor data needs to be processed for data analytics. However, the interpretation of raw sensor data and unveiling the information inside remains a challenging issue from many aspects. As the interval of the sensor data is frequent, data needs to be treated as big data because of the volume and velocity. Unfortunately, traditional approaches do not perform well in big data analytics, especially in extracting the complex relationships between data. In this dissertation, a novel fuzzy object tracking approach which is developed using a big graph data model is proposed by utilization of a multilevel fusion. This approach consists of three main steps: intra-node fusion, inter-node fusion, and object trajectory construction. Intra-node fusion exploits object detection and tracking in each sensor while inter-node fusion uses spatiotemporal data along with neighbor sensors. Then, all trajectories from all sensor nodes are integrated using fuzziness to construct trajectories in the common ground-plane across the wireless multimedia sensor network. Since uncertainty naturally exists in trajectory data, fuzzy logic systems have been studied on the extracted trajectories as well as for further analytics like trajectory prediction and anomaly detection. A prototype system was implemented and several experiments were conducted to evaluate the performance of the proposed approach with both synthetic and real world datasets. The results show that usage of third-level fusion, in addition to inter-node and intra-node fusions provides significantly better performance for object tracking in WMSN applications. GeoLife Trajectories and Maritime Cadastre datasets were used as input of two different real world use cases to perform experiments, and results validate that interval type-2 fuzzy logic utilization improves performance in both trajectory extraction and analytics.

Suggestions

Multilevel Object Tracking in Wireless Multimedia Sensor Networks for Surveillance Applications Using Graph-Based Big Data
Kucukkececi, Cihan; Yazıcı, Adnan (Institute of Electrical and Electronics Engineers (IEEE), 2019-01-01)
Wireless Multimedia Sensor Networks (WMSN), for object tracking, have been used as an emerging technology in different application areas, such as health care, surveillance, and traffic control. In surveillance applications, sensor nodes produce data almost in real-time while tracking the objects in a critical area or monitoring border activities. The generated data is generally treated as big data and stored in NoSQL databases. In this paper, we present a new object tracking approach for surveillance applic...
Automated Moving Object Classification in Wireless Multimedia Sensor Networks
Civelek, Muhsin; Yazıcı, Adnan (2017-02-15)
The use of wireless multimedia sensor networks (WMSNs) for surveillance applications has attracted the interest of many researchers. As with traditional sensor networks, it is easy to deploy and operate WMSNs. With inclusion of multimedia devices in wireless sensor networks, it is possible to provide data to users that is more meaningful than that provided by scalar sensor-based systems alone; however, producing, storing, processing, analyzing, and transmitting multimedia data in sensor networks requires co...
Path planning and localization for mobile anchor based wireless sensor networks
Erdemir, Ecenaz; Tuncer, Temel Engin; Department of Electrical and Electronics Engineering (2017)
In wireless sensor networks, sensors with limited resources are distributed in a wide area. Localizing the sensors is an important problem. Anchor nodes with known positions are used for sensor localization. A simple and efficient way of generating anchor nodes is to use mobile anchors which have built-in GPS units. In this thesis, a single mobile anchor is used to traverse the region of interest to communicate with the sensor nodes and identify their positions. Therefore planning the best trajectory for th...
Fault-tolerant topology control in heterogeneous wireless sensor networks
Bağcı, Hakkı; Yazıcı, Adnan; Körpeoğlu, İbrahim; Department of Computer Engineering (2013)
Wireless sensor networks have come into prominence for monitoring and tracking operations in many application areas including environmental monitoring, battlefield surveillance, healthcare solutions, vehicle traffic monitoring, smart home systems and many other industrial applications. A long network life time and fault-tolerant operation are two essential requirements for wireless sensor network applications. In order to satisfy these requirements, heterogeneous architectures can be employed in wireless se...
An Adaptive, energy-aware and distributed fault-tolerant topology-control algorithm for heterogeneous wireless sensor networks
Deniz, Fatih; Yazıcı, Adnan; Bağcı, Hakkı; Department of Computer Engineering (2016)
Wireless sensor networks (WSNs) are being used in numerous fields, such as battlefield surveillance, environmental monitoring and traffic control. They are typically composed of large numbers of tiny sensor nodes with limited resources. Because of their limitations and because of the environments they are being used, there are problems unique to WSNs. Due to the error-prone nature of wireless communication, especially in harsh environments, fault-tolerance emerges as an important property in WSNs. Also, bec...
Citation Formats
C. Küçükkeçeci, “Multilevel object tracking on big graph data using interval type-2 fuzzy systems in wireless multimedia sensor networks,” Thesis (Ph.D.) -- Graduate School of Natural and Applied Sciences. Computer Engineering., Middle East Technical University, 2020.