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Cooperative transmit-power estimation under wireless fading

Published: 26 May 2008 Publication History

Abstract

We study blind estimation of transmission power of a node based on received power measurements obtained under wireless fading. Specifically, the setup consists of a set of monitors that measure the signal power received from the transmitter, and the goal is to utilize these measurements to estimate the transmission power in the absence of any prior knowledge of the transmitter's location or any statistical distribution of its power. Towards this end, we exploit spatial diversity in received-power measurements and cooperation among the multiple monitoring nodes; based on theoretical analysis we obtain the Maximum Likelihood (ML) estimate, derive fundamental geometrical insights and show that this estimate is asymptotically optimal. Finally, we provide numerical results comparing the performance of the estimators through simulations and on a data-set of field measurements.

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      cover image ACM Conferences
      MobiHoc '08: Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
      May 2008
      474 pages
      ISBN:9781605580739
      DOI:10.1145/1374618
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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      Published: 26 May 2008

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      Author Tags

      1. cooperative monitoring
      2. maximum likelihood
      3. mobile ad-hoc network
      4. power estimation
      5. sensor network
      6. wireless

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      • (2020)Detection of Interference Constraint Violation Based on Heterogeneous Data Fusion in Satellite-Earth Integrated NetworksIEEE Access10.1109/ACCESS.2020.29752418(37645-37656)Online publication date: 2020
      • (2018)Performance Analysis of Maximum Likelihood Estimation for Transmit Power Based on Signal Strength ModelJournal of Sensor and Actuator Networks10.3390/jsan70300387:3(38)Online publication date: 4-Sep-2018
      • (2012)Security Across Disparate Management Domains in Coalition MANETsWireless Technologies10.4018/978-1-61350-101-6.ch521(1494-1518)Online publication date: 2012
      • (2012)Transmit power estimation with a single monitor in multi-band networks2012 9th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)10.1109/SECON.2012.6275822(524-532)Online publication date: Jun-2012
      • (2011)Detection of Small-Scale Primary Users in Cognitive Radio NetworksIEEE Journal on Selected Areas in Communications10.1109/JSAC.2011.11020829:2(349-361)Online publication date: 1-Feb-2011
      • (2010)Spatio-temporal fusion for small-scale primary detection in cognitive radio networksProceedings of the 29th conference on Information communications10.5555/1833515.1833592(381-385)Online publication date: 14-Mar-2010
      • (2010)Transmit power estimation using spatially diverse measurements under wireless fadingIEEE/ACM Transactions on Networking10.1109/TNET.2009.203980118:4(1171-1180)Online publication date: 1-Aug-2010
      • (2010)Power Control for Mobile Sensor Networks: An Experimental Approach2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)10.1109/SECON.2010.5508282(1-9)Online publication date: Jun-2010
      • (2010)Egs: A Cortex M3-Based Mote Platform2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON)10.1109/SECON.2010.5508223(1-3)Online publication date: Jun-2010
      • (2010)Spatio-Temporal Fusion for Small-scale Primary Detection in Cognitive Radio Networks2010 Proceedings IEEE INFOCOM10.1109/INFCOM.2010.5462207(1-5)Online publication date: Mar-2010
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