Energy-efficient clustering/routing for cooperative MIMO operation in sensor networks

Mohammad Z. Siam, Marwan Krunz, Ossama Younis

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

69 Scopus citations

Abstract

Employing multi-input multi-output (MIMO) links can improve energy efficiency in wireless sensor networks (WSNs). Although a sensor node is likely to be equipped with only one antenna, it is possible to group several sensors to form a virtual MIMO link. Such grouping can be formed by means of clustering. In this paper, we propose a distributed MIMO-adaptive energy-efficient clustering/routing scheme, coined cooperative MIMO (CMIMO), which aims at reducing energy consumption in multihop WSNs. In CMIMO, each cluster has up to two cluster heads (CHs), which are responsible for routing traffic between clusters (i.e., inter-cluster communications). CMIMO has the ability to adapt the transmission mode and transmission power on a per-packet basis. The transmission mode can be one of four transmit/receive configurations: 1 × 1 (SISO), 2×1 (MISO), 1×2 (SIMO), and 2 × 2 (MIMO). We study the performance of CMIMO via simulations. Results indicate that our proposed scheme achieves a significant reduction in energy consumption, compared to non-adaptive clustered WSNs.

Original languageEnglish (US)
Title of host publicationIEEE INFOCOM 2009 - The 28th Conference on Computer Communications
Pages621-629
Number of pages9
DOIs
StatePublished - Oct 16 2009
Event28th Conference on Computer Communications, IEEE INFOCOM 2009 - Rio de Janeiro, Brazil
Duration: Apr 19 2009Apr 25 2009

Publication series

NameProceedings - IEEE INFOCOM
ISSN (Print)0743-166X

Other

Other28th Conference on Computer Communications, IEEE INFOCOM 2009
CountryBrazil
CityRio de Janeiro
Period4/19/094/25/09

ASJC Scopus subject areas

  • Computer Science(all)
  • Electrical and Electronic Engineering

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    Siam, M. Z., Krunz, M., & Younis, O. (2009). Energy-efficient clustering/routing for cooperative MIMO operation in sensor networks. In IEEE INFOCOM 2009 - The 28th Conference on Computer Communications (pp. 621-629). [5061969] (Proceedings - IEEE INFOCOM). https://doi.org/10.1109/INFCOM.2009.5061969