Sensors 2009, 9(11), 8776-8809; doi:10.3390/s91108776

Feedback Power Control Strategies inWireless Sensor Networks with Joint Channel Decoding

1email, 2,* email, 2email and 1email
Received: 15 October 2009; in revised form: 22 October 2009 / Accepted: 23 October 2009 / Published: 3 November 2009
(This article belongs to the Special Issue Wireless Sensor Technologies and Applications)
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract: In this paper, we derive feedback power control strategies for block-faded multiple access schemes with correlated sources and joint channel decoding (JCD). In particular, upon the derivation of the feasible signal-to-noise ratio (SNR) region for the considered multiple access schemes, i.e., the multidimensional SNR region where error-free communications are, in principle, possible, two feedback power control strategies are proposed: (i) a classical feedback power control strategy, which aims at equalizing all link SNRs at the access point (AP), and (ii) an innovative optimized feedback power control strategy, which tries to make the network operational point fall in the feasible SNR region at the lowest overall transmit energy consumption. These strategies will be referred to as “balanced SNR” and “unbalanced SNR,” respectively. While they require, in principle, an unlimited power control range at the sources, we also propose practical versions with a limited power control range. We preliminary consider a scenario with orthogonal links and ideal feedback. Then, we analyze the robustness of the proposed power control strategies to possible non-idealities, in terms of residual multiple access interference and noisy feedback channels. Finally, we successfully apply the proposed feedback power control strategies to a limiting case of the class of considered multiple access schemes, namely a central estimating officer (CEO) scenario, where the sensors observe noisy versions of a common binary information sequence and the AP’s goal is to estimate this sequence by properly fusing the soft-output information output by the JCD algorithm.
Keywords: sensor networks; source correlation; feedback power control; joint channel decoding (JCD); serially concatenated convolutional codes (SCCCs); low-density parity-check (LDPC) codes; multiple access interference; noisy feedback; central estimating officer (CEO) problem; fusion
PDF Full-text Download PDF Full-Text [357 KB, uploaded 21 June 2014 02:50 CEST]

Export to BibTeX |

MDPI and ACS Style

Abrardo, A.; Ferrari, G.; Martalò, M.; Perna, F. Feedback Power Control Strategies inWireless Sensor Networks with Joint Channel Decoding. Sensors 2009, 9, 8776-8809.

AMA Style

Abrardo A, Ferrari G, Martalò M, Perna F. Feedback Power Control Strategies inWireless Sensor Networks with Joint Channel Decoding. Sensors. 2009; 9(11):8776-8809.

Chicago/Turabian Style

Abrardo, Andrea; Ferrari, Gianluigi; Martalò, Marco; Perna, Fabio. 2009. "Feedback Power Control Strategies inWireless Sensor Networks with Joint Channel Decoding." Sensors 9, no. 11: 8776-8809.

Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert