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Dynamic Load Balancing Data Centric Storage for Wireless Sensor Networks
Department of Computer Engineering, Chungju National University, 72 Daehak-ro, Chungju-si, Chungbuk 380-702, Korea
(C) Gain IT/ #503, 505, Daejeon Intelligent Robot Engineering Center, 629 Tamnip-dong, Yuseong-gu, Daejeon, Korea
Department of Venture and Business, Jinju National University, 150 Chilam-dong, Jinju-si, Kyeongnam 660-758, Korea
Department of Electronics Engineering, Mokwon University, Mokwon Gil 21, Seo-gu, Daejeon, 302-318, Korea
* Author to whom correspondence should be addressed.
Received: 12 October 2010; in revised form: 3 November 2010 / Accepted: 10 October 2010 / Published: 17 November 2010
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
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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.
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.
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.