A Data Centric Storage based on Adaptive Local Trajectory for Sensor Networks


The KIPS Transactions:PartC, Vol. 15, No. 1, pp. 45-56, Feb. 2008
10.3745/KIPSTC.2008.15.1.45,   PDF Download:

Abstract

Sensor nodes are used as a storage space in the data centric storage method for sensor networks. Sensor nodes save the data to the node which is computed by hash table and users also access to the node to get the data by using hash table. One of the problems which the data centric storage method has is that queries from many users who are interested in the popular data could be concentrated to one node. In this case, responses for queries could be delayed and the energy of heavy loaded node could be dissipated fast. This would lead to reduction of network life time. In this paper, ALT, Data Centric Storage based on Adaptive Local Trajectory, is proposed as scalable data centric storage method for sensor network. ALT constructs trajectory around the storage node. The scope of trajectory is increased or decreased based on the query frequency. ALT distributes the query processing loads to several nodes so that delay of response is reduced and energy dissipation is also distributed.


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Cite this article
[IEEE Style]
H. J. Lim, J. H. Lee, J. H. Lee, Y. J. Lim, D. I. Yang, S. H. Ahn, Y. H. Tscha, H. G. Lee, "A Data Centric Storage based on Adaptive Local Trajectory for Sensor Networks," The KIPS Transactions:PartC, vol. 15, no. 1, pp. 45-56, 2008. DOI: 10.3745/KIPSTC.2008.15.1.45.

[ACM Style]
Hwa Jung Lim, Jae Hwoon Lee, Joa Hyoung Lee, Yu Jin Lim, Dong Il Yang, Sang Hyun Ahn, Yeong Hwan Tscha, and Heon Guil Lee. 2008. A Data Centric Storage based on Adaptive Local Trajectory for Sensor Networks. The KIPS Transactions:PartC, 15, 1, (2008), 45-56. DOI: 10.3745/KIPSTC.2008.15.1.45.