{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T04:39:09Z","timestamp":1760243949681,"version":"build-2065373602"},"reference-count":11,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2010,11,17]],"date-time":"2010-11-17T00:00:00Z","timestamp":1289952000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/s101110328","type":"journal-article","created":{"date-parts":[[2010,11,17]],"date-time":"2010-11-17T11:34:35Z","timestamp":1289993675000},"page":"10328-10338","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Dynamic Load Balancing Data Centric Storage for Wireless Sensor Networks"],"prefix":"10.3390","volume":"10","author":[{"given":"Seokil","family":"Song","sequence":"first","affiliation":[{"name":"Department of Computer Engineering, Chungju National University, 72 Daehak-ro, Chungju-si, Chungbuk 380-702, Korea"}]},{"given":"Kyoungsoo","family":"Bok","sequence":"additional","affiliation":[{"name":"(C) Gain IT\/ #503, 505, Daejeon Intelligent Robot Engineering Center, 629 Tamnip-dong, Yuseong-gu, Daejeon, Korea"}]},{"given":"Yun Sik","family":"Kwak","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Chungju National University, 72 Daehak-ro, Chungju-si, Chungbuk 380-702, Korea"}]},{"given":"Bongeun","family":"Goo","sequence":"additional","affiliation":[{"name":"Department of Computer Engineering, Chungju National University, 72 Daehak-ro, Chungju-si, Chungbuk 380-702, Korea"}]},{"given":"Youngsik","family":"Kwak","sequence":"additional","affiliation":[{"name":"Department of Venture and Business, Jinju National University, 150 Chilam-dong, Jinju-si, Kyeongnam 660-758, Korea"}]},{"given":"Daesik","family":"Ko","sequence":"additional","affiliation":[{"name":"Department of Electronics Engineering, Mokwon University, Mokwon Gil 21, Seo-gu, Daejeon, 302-318, Korea"}]}],"member":"1968","published-online":{"date-parts":[[2010,11,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"137","DOI":"10.1145\/774763.774785","article-title":"Data-Centric Storage in Sensornets","volume":"33","author":"Shenker","year":"2003","journal-title":"ACM SIGCOMM Comput. Commun. Rev"},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Karp, B, and Kung, H (2000, January 8). GPSR: Greedy Perimeter Stateless Routing for Wireless Networks. Boston, MA, USA.","DOI":"10.1145\/345910.345953"},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Li, X, Kim, Y, Govindan, R, and Hon, W (2003, January 5). Multi-dimensional Range Queries in Sensor Networks. Los Angeles, CA, USA.","DOI":"10.1145\/958491.958500"},{"key":"ref_4","doi-asserted-by":"crossref","unstructured":"Aly, M, Pruhs, K, and Chrysanthis, PK (2006, January 6). KDDCS: A Load-Balanced in-Network Data-Centric Storage Scheme for Sensor Networks. Arlington, MA, USA.","DOI":"10.1145\/1183614.1183662"},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Aly, M, Chrysanthis, P, and Pruhs, K (2006, January 17). Decomposing Data-Centric Storage Query Hot-Spots in Sensor Networks. 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Zone Sharing: A Hot-spots Decomposition Scheme for Data Centric Storage in Sensor Networks. Trondheim, Norway.","DOI":"10.1145\/1080885.1080890"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Levis, P Available online: http:\/\/csl.stanford.edu\/~pal\/pubs\/tinyos-programming.pdf (accessed on 12 November 2010).","DOI":"10.1017\/CBO9780511626609"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Levis, P, Lee, N, Welsh, M, and Culler, D (2003, January 5). TOSSIM: Accurate and Scalable Simulation of Entire TinyOS Applications. 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