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Sensors 2010, 10(11), 10328-10338; doi:10.3390/s101110328
Article

Dynamic Load Balancing Data Centric Storage for Wireless Sensor Networks

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Received: 12 October 2010; in revised form: 3 November 2010 / Accepted: 10 October 2010 / Published: 17 November 2010
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Abstract: In this paper, a new data centric storage that is dynamically adapted to the work load changes is proposed. The proposed data centric storage distributes the load of hot spot areas to neighboring sensor nodes by using a multilevel grid technique. The proposed method is also able to use existing routing protocols such as GPSR (Greedy Perimeter Stateless Routing) with small changes. Through simulation, the proposed method enhances the lifetime of sensor networks over one of the state-of-the-art data centric storages. We implement the proposed method based on an operating system for sensor networks, and evaluate the performance through running based on a simulation tool.
Keywords: sensor network; data centric storage; index sensor network; data centric storage; index
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Song, S.; Bok, K.; Kwak, Y.S.; Goo, B.; Kwak, Y.; Ko, D. Dynamic Load Balancing Data Centric Storage for Wireless Sensor Networks. Sensors 2010, 10, 10328-10338.

AMA Style

Song S, Bok K, Kwak YS, Goo B, Kwak Y, Ko D. Dynamic Load Balancing Data Centric Storage for Wireless Sensor Networks. Sensors. 2010; 10(11):10328-10338.

Chicago/Turabian Style

Song, Seokil; Bok, Kyoungsoo; Kwak, Yun Sik; Goo, Bongeun; Kwak, Youngsik; Ko, Daesik. 2010. "Dynamic Load Balancing Data Centric Storage for Wireless Sensor Networks." Sensors 10, no. 11: 10328-10338.


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