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Adaptive Communication and Cooperative MIMO Cluster Formation for Improved Lifetime in Wireless Sensor Networks
Department of Electrical Engineering (ENE), University of Brasília (UnB), Brazil & Institute for Communications and Navigation, German Aerospace Center (DLR), Germany.
Department of Electrical Engineering (ENE), University of Brasília (UnB), Brazil & Institute for Communications and Navigation, German Aerospace Center (DLR), Germany & Institute for Information Technology, Ilmenau University of Technology, Ilmenau, Germany.
Institute for Communications and Navigation, German Aerospace Center (DLR), Germany.
Department of Electrical Engineering (ENE), University of Brasília (UnB), Brazil & Informatics Institute, Federal University of Rio Grande Do sul (UFRGS), Brazil.ORCID iD: 0000-0003-4655-8889
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2016 (English)In: Proceedings - WiSEE 2016: 2016 IEEE International Conference on Wireless for Space and Extreme Environments, New York: IEEE, 2016, p. 190-195, article id 7877330Conference paper, Published paper (Refereed)
Abstract [en]

One of the main limitations that still keeps Wireless Sensor Networks (WSNs) from being adopted in a large scale is the limited energy supply, i.e. the lifetime of the nodes that constitute the network. The wireless communication between nodes is responsible for most of the energy consumed in WSNs. A promising method to improve the energy efficiency is the usage of a Cooperative Multiple Input Multiple Output (CO-MIMO) scheme, where nodes form clusters to transmit and receive signals using a virtual antenna array. This work presents a study on the energy consumption of multi-hop and single-hop transmission compared to CO-MIMO and how to select the most efficient method. It also proposes a method for adaptively choosing the number of nodes that form a CO-MIMO cluster in order to maximize the lifetime of the network and to avoid disconnections. The proposed method takes into account not only the total energy consumption but also the distribution of energy within the network, aiming to keep the energy distribution across the network as uniform as possible. The effects of the proposed methods in the total available energy of the network and in the distribution of the energy is presented by means of numerical simulations. © 2016 IEEE.

Place, publisher, year, edition, pages
New York: IEEE, 2016. p. 190-195, article id 7877330
Series
International Conference on Wireless for Space and Extreme Environments, ISSN 2380-7636
Keywords [en]
Wireless Sensor Networks, Multiple Input Multiple Output, Synchronization, Routing, Energy Efficient Communications
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:hh:diva-35650DOI: 10.1109/WiSEE.2016.7877330ISI: 000405562000037Scopus ID: 2-s2.0-85017310256ISBN: 978-1-5090-2609-8 (electronic)ISBN: 978-1-5090-2610-4 (print)OAI: oai:DiVA.org:hh-35650DiVA, id: diva2:1164288
Conference
IEEE International Conference on Wireless for Space and Extreme Environments (WiSEE), SEP 26-28, 2016, Aachen, Germany
Available from: 2017-12-11 Created: 2017-12-11 Last updated: 2018-06-14Bibliographically approved

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Marinho, MarcoPignaton de Freitas, EdisonVinel, Alexey

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