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Sensors 2010, 10(9), 8054-8069; doi:10.3390/s100908054
Article
Energy-Efficient and Fast Data Gathering Protocols for Indoor Wireless Sensor Networks
1
Department of Computer Education & Instructional Technology, Faculty of Education, University of Selcuk, 42090 Meram, Konya, Turkey
2
Department of Computer Engineering, Faculty of Engineering, University of Selcuk, 42075 Kampus, Konya, Turkey
* Author to whom correspondence should be addressed.
Received: 20 July 2010; in revised form: 5 August 2010 / Accepted: 10 August 2010 / Published: 27 August 2010
(This article belongs to the Section Physical Sensors)
Abstract: Wireless Sensor Networks have become an important technology with numerous potential applications for the interaction of computers and the physical environment in civilian and military areas. In the routing protocols that are specifically designed for the applications used by sensor networks, the limited available power of the sensor nodes has been taken into consideration in order to extend the lifetime of the networks. In this paper, two protocols based on LEACH and called R-EERP and S-EERP with base and threshold values are presented. R-EERP and S-EERP are two efficient energy aware routing protocols that can be used for some critical applications such as detecting dangerous gases (methane, ammonium, carbon monoxide, etc.) in an indoor environment. In R-EERP, sensor nodes are deployed randomly in a field similar to LEACH. In S-EERP, nodes are deployed sequentially in the rooms of the flats of a multi-story building. In both protocols, nodes forming clusters do not change during a cluster change time, only the cluster heads change. Furthermore, an XOR operation is performed on the collected data in order to prevent the sending of the same data sensed by the nodes close to each other. Simulation results show that our proposed protocols are more energy-efficient than the conventional LEACH protocol.
Keywords: wireless sensor networks; routing protocols; data gathering, reactive applications; event-driven; critical threshold; xor; data aggregation and filtering
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MDPI and ACS Style
Tümer, A.E.; Gündüz, M. Energy-Efficient and Fast Data Gathering Protocols for Indoor Wireless Sensor Networks. Sensors 2010, 10, 8054-8069.
AMA StyleTümer AE, Gündüz M. Energy-Efficient and Fast Data Gathering Protocols for Indoor Wireless Sensor Networks. Sensors. 2010; 10(9):8054-8069.
Chicago/Turabian StyleTümer, Abdullah Erdal; Gündüz, Mesut. 2010. "Energy-Efficient and Fast Data Gathering Protocols for Indoor Wireless Sensor Networks." Sensors 10, no. 9: 8054-8069.
