Fuzzy Processing in Surveillance Wireless Sensor Networks

Date

2016-07-29

Author

Sert, Seyyit Alper
Yazıcı, Adnan
Dokeroglu, Tansel

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This paper introduces a new distributed fuzzy network clustering approach that specifically targets surveillance applications of wireless sensor networks. Surveillance domain heavily consists of multimedia applications which require heavy energy consumption. Moreover, in sensor networks, positioned nodes can be relocated either by users or external events which might yield a non-uniform deployment in the long run. In this regard, fuzzy processing becomes crucial if the domain and existing resources include uncertainties. In this study, a distributed fuzzy clustering approach is introduced and then experimentally evaluated. The obtained results on the effect of fuzzy processing in heterogeneous sensor networks are presented.

Subject Keywords

Network clustering, Fuzzy processing, Heterogeneous sensor networks, Surveillance applications

URI

https://hdl.handle.net/11511/56013

Conference Name

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) held as part of IEEE World Congress on Computational Intelligence (IEEE WCCI)

Collections

Department of Computer Engineering, Conference / Seminar

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S Alper Sert Adnan Yazici and Ahmet Cosar Impacts of Routing Attacks on Surveillance Wireless Sensor Networks IWCMC 2015 Dubrovnik Croatia 24 28 August 2015 Seyyit Alper, Sert; Yazıcı, Adnan; Coşar, Ahmet (null; 2015-06-24) Surveillance Wireless Sensor Networks (SWSNs) are the result of abundant data gathering requirements occurring in Wireless Sensor Networks, specifically for surveillance reasons. Most SWSNs operate by sensing the environment and transmitting the acquired data to a sink in order to utilize it for decision making processes such as object detection, classification, localization, or event detection. In this respect, secure routing of acquired data is crucial since a decision making process is performed accordin...
Impacts of Routing Attacks on Surveillance Wireless Sensor Networks Sert, Seyyit Alper; Yazıcı, Adnan; Coşar, Ahmet (2015-08-25) Surveillance Wireless Sensor Networks (SWSNs) are the result of abundant data gathering requirements occurring in Wireless Sensor Networks, specifically for surveillance reasons. Most SWSNs operate by sensing the environment and transmitting the acquired data to a sink in order to utilize it for decision making processes such as object detection, classification, localization, or event detection. In this respect, secure routing of acquired data is crucial since a decision making process is performed accordin...
MOFCA: Multi-objective fuzzy clustering algorithm for wireless sensor networks SERT, SEYYİT ALPER; Bagci, Hakan; Yazıcı, Adnan (2015-05-01) This study introduces a new clustering approach which is not only energy-efficient but also distribution-independent for wireless sensor networks (WSNs). Clustering is used as a means of efficient data gathering technique in terms of energy consumption. In clustered networks, each node transmits acquired data to a cluster-head which the nodes belong to. After a cluster-head collects all the data from all member nodes, it transmits the data to the base station (sink) either in a compressed or uncompressed ma...
An Efficient Fuzzy Fusion-Based Framework for Surveillance Applications in Wireless Multimedia Sensor Networks Sert, Seyyit Alper; Yazıcı, Adnan; Coşar, Ahmet; Yilmazer, Cengiz (2014-08-08) This study is focused on a new approach for addressing the trade-off between accuracy and energy-efficiency of Wireless Multimedia Sensor Networks. Although a number of previous studies have focused on various special topics in Wireless Multimedia Sensor Networks in detail, to best of our knowledge, none presents a fuzzy multi-modal data fusion system, which is light-weight and provides a high accuracy ratio. Especially, multi-modal data fusion targeting surveillance applications make it inevitable to work ...
Fuzzy Semantic Web Architecture for Activity Detection in Wireless Multimedia Sensor Network Applications Ozdin, Ali Nail; Yazıcı, Adnan; KOYUNCU, Murat (2019-01-01) This study aims to increase the reliability of activity detection in Wireless Multimedia Sensor Networks (WMSNs) by using Semantic Web technologies extended with fuzzy logic. The proposed approach consists of three layers: the sensor layer, the data layer, and the Semantic Web layer. The sensor layer comprises a WMSN comprising sensor nodes with multimedia and scalar sensors. The data layer retrieves and stores data from the sink of WMSN. At the top of the architecture, there is a semantic web layer that in...

Citation Formats

S. A. Sert, A. Yazıcı, and T. Dokeroglu, “Fuzzy Processing in Surveillance Wireless Sensor Networks,” presented at the IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) held as part of IEEE World Congress on Computational Intelligence (IEEE WCCI), Vancouver, CANADA, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/56013.