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A Study on Implementation of NDN to WSN

Authors: Tetsuro Kuniyasu; Tetsuya Shigeyasu;

A Study on Implementation of NDN to WSN

Abstract

Recently, IoT (Internet of Things) devices are disseminated into various kind of life circumstances. In network which consists of tremendous nodes, WSN (Wireless Sensor Network) attracts the attention of manufacturers who want to build data collecting network for realizing wealthy life for human. WSN can establish wireless network for relaying the obtained data from sensor nodes to the sink node while keeping low development cost. Furthermore, when the technology of NDN (Named Data Network) is applied to the WSN, it becomes more easy to obtain the desired data without concern for the location of sensor nodes. NDN is known as one of the content oriented network technology for data collection method without any regard to the nodes' location and number of nodes. In addition, it is possible to deliver the sensing data by utilizing the cached one on intermediate routers. However, there are no enough works with regarding to NDN on WSN. Hence, in this paper, we discuss the efficient implementation of NDN algorithm for WSN in order to improve the feasibility of the NDN on WSN.

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Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Average
Average
Top 10%
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