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Event Based Data Gathering in Wireless Sensor Networks

Event Based Data Gathering in Wireless Sensor Networks

Asfandyar Khan, Azween Abdullah, Nurul Hasan
Copyright: © 2012 |Pages: 18
ISBN13: 9781466601017|ISBN10: 1466601019|EISBN13: 9781466601024
DOI: 10.4018/978-1-4666-0101-7.ch021
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MLA

Khan, Asfandyar, et al. "Event Based Data Gathering in Wireless Sensor Networks." Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management, edited by Noor Zaman, et al., IGI Global, 2012, pp. 445-462. https://doi.org/10.4018/978-1-4666-0101-7.ch021

APA

Khan, A., Abdullah, A., & Hasan, N. (2012). Event Based Data Gathering in Wireless Sensor Networks. In N. Zaman, K. Ragab, & A. Abdullah (Eds.), Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management (pp. 445-462). IGI Global. https://doi.org/10.4018/978-1-4666-0101-7.ch021

Chicago

Khan, Asfandyar, Azween Abdullah, and Nurul Hasan. "Event Based Data Gathering in Wireless Sensor Networks." In Wireless Sensor Networks and Energy Efficiency: Protocols, Routing and Management, edited by Noor Zaman, Khaled Ragab, and Azween Bin Abdullah, 445-462. Hershey, PA: IGI Global, 2012. https://doi.org/10.4018/978-1-4666-0101-7.ch021

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Abstract

Wireless sensor networks (WSANs) are increasingly being used and deployed to monitor the surrounding physical environments and detect events of interest. In wireless sensor networks, energy is one of the primary issues and requires the conservation of energy of the sensor nodes, so that network lifetime can be maximized. It is not recommended as a way to transmit or store all data of the sensor nodes for analysis to the end user. The purpose of this “Event Based Detection” Model is to simulate the results in terms of energy savings during field activities like a fire detection system in a remote area or habitat monitoring, and it is also used in security concerned issues. The model is designed to detect events (when occurring) of significant changes and save the data for further processing and transmission. In this way, the amount of transmitted data is reduced, and the network lifetime is increased. The main goal of this model is to meet the needs of critical condition monitoring applications and increase the network lifetime by saving more energy. This is useful where the size of the network increases. Matlab software is used for simulation.

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