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 multi- hop 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 times 1 (SISO), 2 times 1 (MISO), 1 times 2 (SIMO), and 2 times 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.
Description
IEEE Xplore Abstract - Energy-Efficient Clustering/Routing for Cooperative MIMO Operation in Sensor Networks
%0 Conference Paper
%1 5061969
%A Siam, M.Z.
%A Krunz, M.
%A Younis, O.
%B INFOCOM 2009, IEEE
%D 2009
%K Clustering Efficient Energy MIMO Routing WSNs
%P 621-629
%R 10.1109/INFCOM.2009.5061969
%T Energy-Efficient Clustering/Routing for Cooperative MIMO Operation in Sensor Networks
%U http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5061969&queryText=transmission%20power%20and%20routing%20in%20WSNs&pageNumber=4&newsearch=true&searchField=Search_All
%X 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 multi- hop 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 times 1 (SISO), 2 times 1 (MISO), 1 times 2 (SIMO), and 2 times 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.
@inproceedings{5061969,
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 multi- hop 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 times 1 (SISO), 2 times 1 (MISO), 1 times 2 (SIMO), and 2 times 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.},
added-at = {2016-01-12T23:37:09.000+0100},
author = {Siam, M.Z. and Krunz, M. and Younis, O.},
biburl = {https://www.bibsonomy.org/bibtex/24d9f2a5e6632dc57931450fbbaf9cdba/dkafetzis},
booktitle = {INFOCOM 2009, IEEE},
description = {IEEE Xplore Abstract - Energy-Efficient Clustering/Routing for Cooperative MIMO Operation in Sensor Networks},
doi = {10.1109/INFCOM.2009.5061969},
interhash = {24150f64dbd10dbde8aaffc92fd88d06},
intrahash = {4d9f2a5e6632dc57931450fbbaf9cdba},
issn = {0743-166X},
keywords = {Clustering Efficient Energy MIMO Routing WSNs},
month = {April},
pages = {621-629},
timestamp = {2016-01-12T23:37:09.000+0100},
title = {Energy-Efficient Clustering/Routing for Cooperative MIMO Operation in Sensor Networks},
url = {http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=5061969&queryText=transmission%20power%20and%20routing%20in%20WSNs&pageNumber=4&newsearch=true&searchField=Search_All},
year = 2009
}