Distributed Optimal Quantization and Power Allocation for Sensor Detection Via Consensus

TL;DR

This paper introduces a fully distributed algorithm for sensor networks to optimize transmit power and quantization bits, enhancing decentralized detection efficiency with minimal communication overhead.

Contribution

It presents a novel distributed method for joint power and quantization optimization in sensor detection, reducing complexity and communication.

Findings

Achieves optimal power and quantization bit allocation for detection accuracy.

Reduces sensor processing complexity by sharing only transmit power information.

Ensures channel capacity is matched for effective data transmission.

Abstract

We address the optimal transmit power allocation problem (from the sensor nodes (SNs) to the fusion center (FC)) for the decentralized detection of an unknown deterministic spatially uncorrelated signal which is being observed by a distributed wireless sensor network. We propose a novel fully distributed algorithm, in order to calculate the optimal transmit power allocation for each sensor node (SN) and the optimal number of quantization bits for the test statistic in order to match the channel capacity. The SNs send their quantized information over orthogonal uncorrelated channels to the FC which linearly combines them and makes a final decision. What makes this scheme attractive is that the SNs share with their neighbours just their individual transmit powers at the current states. As a result, the SN processing complexity is further reduced.