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Yayın Fall Detection by Using K-Nearest Neighbor Algorithm on WSN Data(IEEE, 2010) Erdogan, Senol Zafer; Bilgin, Turgay Tugay; Cho, JuphilFalls are serious problem especially for elderly people. Day by day the elderly people are living alone and the children of these people want to get information in dangerous situations. With the alarm systems, someone in difficulty can be detected and emergency aid can be sent. We propose a system to detect falls by using a data mining approach on WSN data. The proposed system evaluated using data stream collected from sensor device and fall detection accuracy and precision are calculated. Our solution demonstrated promising results on WSN data stream.Yayın Genetic Algorithm Based Energy Efficient Clusters (GABEEC) in Wireless Sensor Networks(ELSEVIER SCIENCE BV, 2012) Bayrakli, Selim; Erdogan, Senol Zafer; Shakshuki, E; Younas, MIn this paper, a genetic algorithm based method (GABEEC) is proposed to optimize the lifetime of wireless sensor networks. The proposed method is a cluster based approach like LEACH. Genetic algorithm is used to maximize the lifetime of the network by means of rounds. The method has 2 phases which are Set-up and Steady-state phase. In the set-up phase, the clusters are created and are not changed throughout the network. The clusters are not recreated for each round. In each round, there are static clusters with dynamically changing clusterheads. A simulator is developed in MS Visual C# 2010 development environment to validate the proposed method. In the simulation, 100 nodes are randomly distributed in 50x50 square meters area. The results show that the proposed method is found to be more efficient than LEACH. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of [name organizer]Yayın Internal-genetic-algorithm-based, energy-efficient clusters(MAEJO UNIV, 2016) Bayrakli, Selim; Erdogan, Senol Zafer; Kilinc, TurgutWe propose an internal-genetic-algorithm-based, energy-efficient clustering (INGABEEC) method to enhance the lifetime of wireless sensor networks (WSNs). The proposed method generates energy-efficient clusters by considering several aspects of the WSNs. The INGABEEC generates energy-efficient clusters by genetic algorithm, where cluster heads are changed dynamically. Furthermore, the INGABEEC is improved by using an intra-cluster communication between non-cluster head nodes.Yayın Mobility Monitoring by Using RSSI in Wireless Sensor Networks(SPRINGER-VERLAG BERLIN, 2010) Erdogan, Senol Zafer; Meghanathan, N; Boumerdassi, S; Chaki, N; Nagamalai, DIn this paper, mobility time is studied by using the changes in the received signal strenth indicator (RSSI). RSSI values are used to define mobility, non-mobility or unclear times. The experiments are conducted to investigate mobility and non-mobility times and also the poster experiment is used to determine rating ratios of posters.Yayın Regional temperature and humidity monitoring via mobile sensor nodes(PAMUKKALE UNIV, 2018) Erdogan, Senol Zafer; Geren, Mustafa OnderDue to the latest developments in mobile and ubiquitous computing, it is feasible to deploy environment monitoring sensors using a large number of mobile devices. In this paper, we propose a system to continuously monitor a particular region's temperature and humidity. The "server" is a center point (base station) that collects the data. The sensor nodes deliver the data to the server at a given schedule or on demand. The server is equipped with the data visualization tools for conducting visual analytics on the collected sensor data. The proposed system consists of three modules. The first module consists of the mobile sensor devices to monitor the region's temperature and humidity. General Packet Radio Services (GPRS) and GPS module are integrated in the nodes. Further, for continuous and responsive monitoring, there is a real-time communication with these mobile sensor nodes. The second module consists of the components to collect data from the sensor nodes and record the data in the server database. Finally, the third module provides the data mining and data visualization on the recorded data in server database. The proposed system is implemented and tested on several bus routes in Istanbul, Turkey. The results show that the proposed system could be beneficial in developing precise models for the environment monitoring.Yayın Routing table updating by using intelligent agents(SPRINGER, 2009) Erdogan, Senol Zafer; Esin, E. MuratIn a network, one of the important problems is making an efficient routing decision. Many studies have been carried out on making a decision and several routing algorithms have been developed. In a network environment, every node has a routing table and these routing tables are used for making routing decisions. Nowadays, intelligent agents are used to make routing decisions. Intelligent agents have been inspired by social insects such as ants. One of the intelligent agent types is self a cloning ant. In this study, a self cloning ant colony approach is used. Self cloning ants are a new synthetic ant type. This ant assesses the situation and multiplies through cloning or destroying itself. It is done by making a routing decision and finding the optimal path. This study explains routing table updating by using the self cloning ant colony approach. In a real net, this approach has been used and routing tables have been created and updated for every node.Yayın Using received signal strength variation for energy efficient data dissemination in wireless sensor networks(IEEE COMPUTER SOC, 2007) Erdogan, Senol Zafer; Hussain, Sajid; Tjoa, AM; Wagner, RRIn this paper, the values of received signal strength indicator (RSSI) are studied for various deployment environments in wireless sensor networks. The accurate RSSI estimation can improve the accuracy of several algorithms used in localization, mobility, and routing. The experiments are conducted to investigate the variation in RSSI values with respect to: a) distance between transmitter and receiver, b) non-circular radio communication, and c) alignment of transmitter and receiver. The results show that because of a non-circular radio communication model and proper alignment techniques, the overall energy consumption of a sensor network can be reduced by 43%.
