Distributed processing techniques for beamforming in wireless sensor networks

Keyvan Zarifi, Sofiene Affes, Ali Ghrayeb

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

2 Citations (Scopus)

Abstract

A main task in distributed beamforming (DBF) techniques for wireless sensor networks (WSNs) is to maximize the received signal power at the access point (AP) while inflicting small interfering effect on unintended receivers. When the DBF nodes are unaware of the directions of unintended receivers, interference at the latter receivers may be substantially reduced by forming a beampattern with a narrow mainlobe that is pointed towards the AP. However, such an approach requires the DBF nodes to be sporadically scattered over a large area and, hence, increases the probability of the loss of their inter-connection. Assuming that nodes are uniformly distributed in the network, we show how the DBF nodes can be intelligently selected to ameliorate the network disconnectivity problem. In turn, when the directions of unintended receivers are known, one may aim to apply the so-called null-steering beamforming approach to effectively nullify the received power at those directions. However, it can be shown that implementing a null-steering beamformer in WSNs requires each node to be aware of the locations of all other nodes in the network; a requirement that opposes the distributed nature of WSNs. For such a scenario, we approximate the null-steering beamformer with another beamformer that is amenable to a distributed implementation.

Original languageEnglish
Title of host publication3rd International Conference on Signals, Circuits and Systems, SCS 2009
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event3rd International Conference on Signals, Circuits and Systems, SCS 2009 - Medenine, Tunisia
Duration: 6 Nov 20098 Nov 2009

Other

Other3rd International Conference on Signals, Circuits and Systems, SCS 2009
CountryTunisia
CityMedenine
Period6/11/098/11/09

Fingerprint

Beamforming
Wireless sensor networks
Processing

Keywords

  • Beampattern
  • Distributed beamforming
  • Null-steering beamforming
  • Wireless sensor networks

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Zarifi, K., Affes, S., & Ghrayeb, A. (2009). Distributed processing techniques for beamforming in wireless sensor networks. In 3rd International Conference on Signals, Circuits and Systems, SCS 2009 [5412692] https://doi.org/10.1109/ICSCS.2009.5412692

Distributed processing techniques for beamforming in wireless sensor networks. / Zarifi, Keyvan; Affes, Sofiene; Ghrayeb, Ali.

3rd International Conference on Signals, Circuits and Systems, SCS 2009. 2009. 5412692.

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

Zarifi, K, Affes, S & Ghrayeb, A 2009, Distributed processing techniques for beamforming in wireless sensor networks. in 3rd International Conference on Signals, Circuits and Systems, SCS 2009., 5412692, 3rd International Conference on Signals, Circuits and Systems, SCS 2009, Medenine, Tunisia, 6/11/09. https://doi.org/10.1109/ICSCS.2009.5412692
Zarifi K, Affes S, Ghrayeb A. Distributed processing techniques for beamforming in wireless sensor networks. In 3rd International Conference on Signals, Circuits and Systems, SCS 2009. 2009. 5412692 https://doi.org/10.1109/ICSCS.2009.5412692
Zarifi, Keyvan ; Affes, Sofiene ; Ghrayeb, Ali. / Distributed processing techniques for beamforming in wireless sensor networks. 3rd International Conference on Signals, Circuits and Systems, SCS 2009. 2009.
@inproceedings{899f3a90373b4a36b6df89562d9da5b7,
title = "Distributed processing techniques for beamforming in wireless sensor networks",
abstract = "A main task in distributed beamforming (DBF) techniques for wireless sensor networks (WSNs) is to maximize the received signal power at the access point (AP) while inflicting small interfering effect on unintended receivers. When the DBF nodes are unaware of the directions of unintended receivers, interference at the latter receivers may be substantially reduced by forming a beampattern with a narrow mainlobe that is pointed towards the AP. However, such an approach requires the DBF nodes to be sporadically scattered over a large area and, hence, increases the probability of the loss of their inter-connection. Assuming that nodes are uniformly distributed in the network, we show how the DBF nodes can be intelligently selected to ameliorate the network disconnectivity problem. In turn, when the directions of unintended receivers are known, one may aim to apply the so-called null-steering beamforming approach to effectively nullify the received power at those directions. However, it can be shown that implementing a null-steering beamformer in WSNs requires each node to be aware of the locations of all other nodes in the network; a requirement that opposes the distributed nature of WSNs. For such a scenario, we approximate the null-steering beamformer with another beamformer that is amenable to a distributed implementation.",
keywords = "Beampattern, Distributed beamforming, Null-steering beamforming, Wireless sensor networks",
author = "Keyvan Zarifi and Sofiene Affes and Ali Ghrayeb",
year = "2009",
doi = "10.1109/ICSCS.2009.5412692",
language = "English",
isbn = "9781424443987",
booktitle = "3rd International Conference on Signals, Circuits and Systems, SCS 2009",

}

TY - GEN

T1 - Distributed processing techniques for beamforming in wireless sensor networks

AU - Zarifi, Keyvan

AU - Affes, Sofiene

AU - Ghrayeb, Ali

PY - 2009

Y1 - 2009

N2 - A main task in distributed beamforming (DBF) techniques for wireless sensor networks (WSNs) is to maximize the received signal power at the access point (AP) while inflicting small interfering effect on unintended receivers. When the DBF nodes are unaware of the directions of unintended receivers, interference at the latter receivers may be substantially reduced by forming a beampattern with a narrow mainlobe that is pointed towards the AP. However, such an approach requires the DBF nodes to be sporadically scattered over a large area and, hence, increases the probability of the loss of their inter-connection. Assuming that nodes are uniformly distributed in the network, we show how the DBF nodes can be intelligently selected to ameliorate the network disconnectivity problem. In turn, when the directions of unintended receivers are known, one may aim to apply the so-called null-steering beamforming approach to effectively nullify the received power at those directions. However, it can be shown that implementing a null-steering beamformer in WSNs requires each node to be aware of the locations of all other nodes in the network; a requirement that opposes the distributed nature of WSNs. For such a scenario, we approximate the null-steering beamformer with another beamformer that is amenable to a distributed implementation.

AB - A main task in distributed beamforming (DBF) techniques for wireless sensor networks (WSNs) is to maximize the received signal power at the access point (AP) while inflicting small interfering effect on unintended receivers. When the DBF nodes are unaware of the directions of unintended receivers, interference at the latter receivers may be substantially reduced by forming a beampattern with a narrow mainlobe that is pointed towards the AP. However, such an approach requires the DBF nodes to be sporadically scattered over a large area and, hence, increases the probability of the loss of their inter-connection. Assuming that nodes are uniformly distributed in the network, we show how the DBF nodes can be intelligently selected to ameliorate the network disconnectivity problem. In turn, when the directions of unintended receivers are known, one may aim to apply the so-called null-steering beamforming approach to effectively nullify the received power at those directions. However, it can be shown that implementing a null-steering beamformer in WSNs requires each node to be aware of the locations of all other nodes in the network; a requirement that opposes the distributed nature of WSNs. For such a scenario, we approximate the null-steering beamformer with another beamformer that is amenable to a distributed implementation.

KW - Beampattern

KW - Distributed beamforming

KW - Null-steering beamforming

KW - Wireless sensor networks

UR - http://www.scopus.com/inward/record.url?scp=77951495145&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=77951495145&partnerID=8YFLogxK

U2 - 10.1109/ICSCS.2009.5412692

DO - 10.1109/ICSCS.2009.5412692

M3 - Conference contribution

SN - 9781424443987

BT - 3rd International Conference on Signals, Circuits and Systems, SCS 2009

ER -