Wind Storm Estimation using a Heterogeneous Sensor Network with High and Low Resolution Sensors - Archive ouverte HAL Access content directly
Conference Papers Year : 2015

Wind Storm Estimation using a Heterogeneous Sensor Network with High and Low Resolution Sensors

(1) , (2) , (3, 4, 5) , (6)
1
2
3
4
5
6

Abstract

We develop a new algorithm for spatial field reconstruction in heterogeneous (mixed analog & digital sen- sors) wireless sensor networks (WSNs). We consider spatial physical phenomena which are observed by a heterogeneous WSN, meaning that it is partially consists of sparsely deployed high-quality sensors and partially of low-quality sensors. The high-quality sensors transmit their (continuous) noisy observations to the Fusion Centre (FC), while the low- quality sensors first perform a simple thresholding operation and then transmit their binary values over imperfect wireless channels to the FC. We develop a novel algorithm that is based on a multivariate series expansion approach resulting in a Saddle-point type approximation. We then present comprehensive study of the performance gain that can be obtained by augmenting the high-quality sensors with low- quality sensors using real data of insurance storm surge database known as the Extreme Wind Storms Catalogue.
Not file

Dates and versions

hal-01144851 , version 1 (22-04-2015)

Identifiers

  • HAL Id : hal-01144851 , version 1

Cite

Ido Nevat, Gareth W. Peters, François Septier, Tomoko Matsui. Wind Storm Estimation using a Heterogeneous Sensor Network with High and Low Resolution Sensors. IEEE International Conference on Communications (ICC), Jun 2015, London, United Kingdom. ⟨hal-01144851⟩
101 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More