Global SNR maximization for distributed estimation and capacity of data collection in wireless sensor networks using individual power constraint

Ajib Setyo Arifin, Tomoaki Ohtsuki

研究成果: Conference contribution

抄録

We consider distributed estimation in wireless sensor networks (WSNs). Using linear minimum mean squared error (LMMSE) estimator, we derive mean squared error (MSE) to measure the quality of estimation. We introduce a global signal to noise ratio (SNR), where we can derive capacity of data collection in terms of mutual information as reciprocity of MSE. Based on the global SNR, we derive equal power allocation and optimal power allocation in orthogonal multiple access channel (MAC) models. We also derive asymptotic behavior of the global SNR when the power and the number of sensors become unlimited. We minimize MSE as well as maximize mutual information by considering total and individual power constraints. We show that MSE and mutual information of equal power allocation outperforms optimal power allocation. Moreover, system with individual power constraint is worse than the system without that because the suggested power to be allocated is constrained by maximum transmit power of the sensors.

本文言語English
ホスト出版物のタイトル2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(印刷版)9786163618238
DOI
出版ステータスPublished - 2014 2 12
イベント2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014 - Chiang Mai, Thailand
継続期間: 2014 12 92014 12 12

Other

Other2014 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2014
国/地域Thailand
CityChiang Mai
Period14/12/914/12/12

ASJC Scopus subject areas

  • 信号処理
  • 情報システム

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