Cross-layer optimization for wireless sensor networks with RF energy transfer

Hee Tae Roh, Jang Won Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)

Abstract

Recently, radio frequency energy transfer (RFET) attracts more and more interests for powering sensor nodes in the wireless sensor network (WSN). In the conventional WSN where sensor nodes are powered by a small battery with finite amount of energy, reducing energy consumption of sensor nodes is of primary importance. On the contrary, in the WSN with RFET, since energy can be continuously supplied to sensor nodes, reducing energy consumption is not an important issue. However, in the WSN with RFET, the energy harvesting rate of each sensor node depends on its location, which causes the unbalanced available energy among sensor nodes. Hence, to improve the performance of the WSN with RFET, it is important to develop network protocols considering this property. In this paper, we study this issue with jointly considering routing, scheduling, and power control in the WSN with RFET. We obtain a solution for joint routing, scheduling, and power control considering unbalanced energy harvesting rates among sensor nodes, and show that our solution can improve network performance significantly.

Original languageEnglish
Title of host publicationInternational Conference on ICT Convergence
PublisherIEEE Computer Society
Pages919-923
Number of pages5
ISBN (Electronic)9781479967865
DOIs
Publication statusPublished - 2014 Dec 11
Event5th International Conference on Information and Communication Technology Convergence, ICTC 2014 - Busan, Korea, Republic of
Duration: 2014 Oct 222014 Oct 24

Publication series

NameInternational Conference on ICT Convergence
ISSN (Print)2162-1233
ISSN (Electronic)2162-1241

Other

Other5th International Conference on Information and Communication Technology Convergence, ICTC 2014
Country/TerritoryKorea, Republic of
CityBusan
Period14/10/2214/10/24

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Networks and Communications

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