Energy Efficient Data Centric Storage for Sensor Networks Employing Multilevel Grid Techniques

Hong, Yul Pyo; Choi, Young-Jae; Taegoo, Kim; Kwak, Yun Sik; Joe, Ki Hyung; Kang, Hyung Il; Song, Seok Il

doi:10.1109/fgcn.2008.66

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Cited by 2 publications

(2 citation statements)

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“…The authors of [ 6 ] present dynamic balanced data-centric storage (DBAS) that uses a cooperative strategy between the base station and the in-network processing. Virtual grid based DCS is proposed in [ 7 ]. It uses a virtual grid to assign addresses to sensor nodes and distribute the load of a hot-spot area by using a multilevel grid technique.…”

Section: Introductionmentioning

confidence: 99%

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Dynamic Load Balancing Data Centric Storage for Wireless Sensor Networks

Song

Bok²,

Kwak

et al. 2010

Sensors

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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.

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Section: Introductionmentioning

confidence: 99%

“…It uses a virtual grid to assign addresses to sensor nodes and distribute the load of a hot-spot area by using a multilevel grid technique. In fact, this paper is an extended version of [ 7 ].…”

Section: Introductionmentioning

confidence: 99%