Yazar "Hussain, Sajid" seçeneğine göre listele

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    Intelligent monitoring using wireless sensor networks
    (Springer Nature, 2007) Erdoğan, Şenol Zafer; Hussain, Sajid; Park, Jong-Hyuk
    Wireless sensor networks (WSNs) enable smart environments to provide pervasive and ubiquitous applications, which give context-aware and scalable services to the end users. In this paper, an agent-based architecture is proposed for knowledge discovery and the variation in received signal strength indicator (RSSI) is used for knowledge extraction. Several experiments are conducted in an in-door environment to demonstrate the application of RSSI for ubiquitous monitoring. For instance, a WSN, which consists of Moteiv’s Tmote Sky sensors, is deployed in a bedroom to determine the sleeping behavior and other physical activities of a person. Similarly, a WSN is used to identify the occupied chairs in a room, as well as the mobility of a person.
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    Monitoring user activities in smart home environments
    (SPRINGER, 2009) Hussain, Sajid; Erdogen, Senol Zafer; Park, Jong Hyuk
    Wireless sensor networks (WSNs) enable smart environments to create pervasive and ubiquitous applications, which give context-aware and scalable services to the end users. In this paper, we propose an architecture and design of a web application for a sensor network monitoring. Further, the variation in received signal strength indicator values is used for knowledge extraction. Experiments are conducted in an in-door room environment to determine the activities of a person. For instance, a WSN consisting of Moteiv's Tmote Sky sensors is deployed in a bedroom to determine the sleeping behavior and other activities of a person.
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    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, RR
    In 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%.