Dynamic Load Balancing Data Centric Storage for Wireless Sensor Networks

被引：3

作者：

Song, Seokil ^{[1
]}

Bok, Kyoungsoo ^{[2
]}

Kwak, Yun Sik ^{[1
]}

Goo, Bongeun ^{[1
]}

Kwak, Youngsik ^{[3
]}

Ko, Daesik ^{[4
]}

机构：

[1] Chungju Natl Univ, Dept Comp Engn, Chungju Si 380702, Chungbuk, South Korea

[2] C Gain IT 503, Daejeon Intelligent Robot Engn Ctr, Taejon, South Korea

[3] Jinju Natl Univ, Dept Venture & Business, Jinju Si 660758, Kyeongnam, South Korea

[4] Mokwon Univ, Dept Elect Engn, Taejon 302318, South Korea

来源：

SENSORS | 2010年 / 10卷 / 11期

关键词：

sensor network; data centric storage; index;

D O I：

10.3390/s101110328

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

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.

引用

页码：10328 / 10338

页数：11

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