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Author:

Su, Haoru (Su, Haoru.) | Li, Yafang (Li, Yafang.) | Siyi, Zheng (Siyi, Zheng.) | Yan, Hairong (Yan, Hairong.) | Chen, Huamin (Chen, Huamin.)

Indexed by:

EI Scopus

Abstract:

Radio frequency identification (RFID) is a promising technology for ubiquitous computing. To improve its function and capability, it is necessary to integrate RFID with Wireless Sensor Networks (WSNs). Although organized well, the reader collision problem is still one of the critical problems in these networks. In this letter, we propose a Multichannel Reader Collision Avoidance (MRCA) mechanism for the cluster constructed RFID-Sensor integrated networks. In this mechanism, cluster headers collect channel information of nodes and arrange nodes' reading time and transmission energy, while gateway schedules clusters' reading sequence in the same way. By using this mechanism, the system throughput and efficiency can be highly increased according to the simulation. © 2018 Computer Society of the Republic of China. All rights reserved.

Keyword:

Sensor nodes Radio frequency identification (RFID) Wireless sensor networks Collision avoidance Ubiquitous computing Energy efficiency Gateways (computer networks)

Author Community:

  • [ 1 ] [Su, Haoru]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 2 ] [Li, Yafang]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 3 ] [Siyi, Zheng]Department of Intelligence Reconnaissance, Special Police College of the Chinese People's Armed Police Force, Beijing, China
  • [ 4 ] [Yan, Hairong]Faculty of Information Technology, Beijing University of Technology, Beijing, China
  • [ 5 ] [Chen, Huamin]Faculty of Information Technology, Beijing University of Technology, Beijing, China

Reprint Author's Address:

  • [chen, huamin]faculty of information technology, beijing university of technology, beijing, china

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Source :

Journal of Computers (Taiwan)

ISSN: 1991-1599

Year: 2018

Issue: 5

Volume: 29

Page: 260-271

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 8

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