Li, James C. F. and Dey, Subhrakanti and Evans, Jamie S.
(2008)
Maximal Lifetime Rate and Power Allocation for
Sensor Networks with Data Distortion Constraints.
IEEE Transactions on Signal Processing, 56 (5).
pp. 2076-2090.
ISSN 1053-587X
Abstract
We address a lifetime maximization problem for a
single-hop wireless sensor network where multiple sensors encode
and communicate their measurements of a Gaussian random
source to a Fusion Centre (FC). The FC is required to reconstruct
the source within a prescribed distortion threshold. The lifetime
optimization problem is formulated as a joint power, rate and
timeslot (for TDMA) allocation problem under the constraints
of the well known rate distortion constraints for the Gaussian
CEO problem, the capacity constraints of the wireless links,
the energy constraints of the sensor nodes and the strict delay
constraint within which the encoded sensor data must arrive at
the FC.We study the performances of TDMA and an interference
limited non-orthogonal multiple access (NOMA) (with single
user decoding) based protocols and compare them against the
upper bound provided by the optimal lifetime performance where
the capacity constraints are given by the Gaussian multiaccess
capacity region. While the constrained non-linear optimization
problems for the TDMA and the Gaussian multiaccess cases
are convex, the NOMA case results in a non-linear nonconvex
D.C. (difference of convex functions) programming problem.
We provide a simple successive convex approximation based
algorithm for the NOMA case that converges fast to a suboptimal
lifetime performance that compares favourably against the upper
bound provided by the Gaussian multiaccess case. Extensive
numerical studies are presented for both static and slow fading
wireless environments with full channel state information at the
fusion centre.
Item Type: |
Article
|
Keywords: |
Maximal Lifetime Rate; Power Allocation;
Sensor Networks; Data Distortion Constraints; |
Academic Unit: |
Faculty of Science and Engineering > Electronic Engineering |
Item ID: |
12721 |
Identification Number: |
https://doi.org/10.1109/TSP.2007.911493 |
Depositing User: |
Subhrakanti Dey
|
Date Deposited: |
09 Apr 2020 09:59 |
Journal or Publication Title: |
IEEE Transactions on Signal Processing |
Publisher: |
Institute of Electrical and Electronics Engineers |
Refereed: |
Yes |
URI: |
|
Use Licence: |
This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available
here |
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