A survey on sensor networks

Akyildiz, I.F., Weilian Su, Sankarasubramaniam, Y., Cayirci, E.·2002·IEEE Communications Magazine

DOI 10.1109/mcom.2002.1024422

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Abstract

The advancement in wireless communications and electronics has enabled the development of low-cost sensor networks. The sensor networks can be used for various application areas (e.g., health, military, home). For different application areas, there are different technical issues that researchers are currently resolving. The current state of the art of sensor networks is captured in this article, where solutions are discussed under their related protocol stack layer sections. This article also points out the open research issues and intends to spark new interests and developments in this field.

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10.1109/VETEC.1999.778120 · DOI
10.1145/383082.383151 · DOI
10.1109/ICC.1998.683110 · DOI
10.1109/98.878532 · DOI · Paper page
10.1109/54.914626 · DOI
10.1145/313451.313529 · DOI · Paper page
10.1109/HICSS.2000.926982 · DOI · Paper page
10.1109/49.779917 · DOI
10.1109/ICC.2001.936317 · DOI
10.1002/net.3230180406 · DOI · Paper page
10.1109/2.869369 · DOI · Paper page
bulusu, 2001, scalable coordination for wireless sensor networks: self-configuring localization systems, ISCTA 2001
10.1145/332833.332838 · DOI · Paper page
10.1145/345910.345920 · DOI
10.1145/381677.381703 · DOI
10.1145/313451.313558 · DOI
10.1109/CCA.2000.897468 · DOI
10.1109/98.944004 · DOI · Paper page
10.1145/381677.381699 · DOI
su, 2002, a stream enabled routing (ser) protocol for sensor networks, Med-hoc-Net 2002

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Authors: Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E.
Venue: IEEE Communications Magazine
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Published: 2002-08
Volume: 40
Issue: 8
Pages: 102-114
ISSN: 0163-6804 (ISSN-L)
DOI: 10.1109/mcom.2002.1024422
OpenAlex: W2130403046
Cited by: 13,644
References: 0
FWCI: 275.87
Type: journal article
Language: en
Open access: closed
Licence: ieeexplore.ieee.org/Xplorehelp/downloads/license-information/IEEE.html (vor)

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A survey on sensor networks

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