Energy efficient routing based on cooperative MIMO techniques

Shuguang Cui, Andrea J. Goldsmith

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

21 Scopus citations

Abstract

We consider sensor networks where energy is a limited resource so that energy consumption must be minimized while satisfying given throughput requirements. Moreover, energy consumption must take into account both the transmission energy and the circuit processing energy for short-range communications. In this context, we analyze energy-efficient joint routing and link scheduling to achieve the optimal tradeoff between energy and delay. For networks composed of multiple clusters of nodes, we propose and analyze the cooperative multiple-input multiple-output (MIMO) approach where multiple sensor nodes in the same cluster cooperate in signal transmission and/or reception. We show that local information exchange within the cluster is not necessary for node cooperation based on Alamouti diversity codes if the transmissions are properly scheduled. We further show that the routing optimization problem based on cooperative MIMO can be solved by designing an equivalent single-input single-output (SISO) system, where each cluster is treated as a super node. For both SISO-based and MIMO-based cases, we derive the best energy-delay tradeoff curves and show that the cooperative MIMO approach dramatically improves the energy-delay performance.

Original languageEnglish (US)
Title of host publication2005 IEEE ICASSP '05 - Proc. - Design and Implementation of Signal Proces.Syst.,Indust. Technol. Track,Machine Learning for Signal Proces. Education, Spec. Sessions
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages805-808
Number of pages4
ISBN (Print)0780388747, 9780780388741
DOIs
StatePublished - 2005
Externally publishedYes
Event2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05 - Philadelphia, PA, United States
Duration: Mar 18 2005Mar 23 2005

Publication series

NameICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
VolumeV
ISSN (Print)1520-6149

Other

Other2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05
CountryUnited States
CityPhiladelphia, PA
Period3/18/053/23/05

All Science Journal Classification (ASJC) codes

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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