2008Unpublished venueRequires access

Localization in UWB Sensor Networks for Agriculture Environment

Di Wu, Renfa Li, Ruifang Li, Hualin Liang, Juan Luo

Open publisher page 11 citations

Abstract

Information technologies are becoming more and more important for agricultural development. In the intelligent monitoring and control of agriculture environments, localization has many attractive applications. On the basis of IEEE 802.15.4a, we adopt the farm channel model CM7 to position in ultra- wideband (UWB) sensor networks for agriculture environments. Maximum likelihood estimation (MLE) based UWB RSSI ranging is proposed, the relation between localization error and ranging error is analyzed. Then, we joint impulse radio UWB, RSSI ranging and localization algorithm, passive UWB RFID Tags to provide a novel UWB sensor localization network in agriculture environments. Simulation results indicate that our ranging method, localization algorithm and network model achieve a significant improvement in the performance of ranging and localization for applications in precision agriculture.

About this research paper

What this paper is about

Information technologies are becoming more and more important for agricultural development. In the intelligent monitoring and control of agriculture environments, localization has many attractive applications. On the basis of IEEE 802.15.4a, we adopt the farm channel model CM7 to position in ultra- wideband (UWB) sensor networks for agriculture environments. Maximum likelihood estimation (MLE) based UWB RSSI ranging is proposed, the relation between localization error and ranging error is analyzed. Then, we joint impulse radio UWB, RSSI ranging and localization algorithm, passive UWB RFID Tags to provide a novel UWB sensor localization network in agriculture environments. Simulation results indicate that our ranging method, localization algorithm and network model achieve a significant improvement in the performance of ranging and localization for applications in precision agriculture.

Why it matters

OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Information technologies are becoming more and more important for agricultural development. In the intelligent monitoring and control of agriculture environments, localization has many attractive applications. On the basis of IEEE 802.15.4a, we adopt the farm channel model CM7 to position in ultra- wideband (UWB) sensor networks for agriculture environments. Maximum likelihood estimation (MLE) based UWB RSSI ranging is proposed, the relation between localization error and ranging error is analyzed. Then, we joint impulse radio UWB, RSSI ranging and localization algorithm, passive UWB RFID Tags to provide a novel UWB sensor localization network in agriculture environments. Simulation results indicate that our ranging method, localization algorithm and network model achieve a significant improvement in the performance of ranging and localization for applications in precision agriculture.

Key concepts: Ranging, Ultra-wideband, Computer science, Impulse radio, Wireless sensor network, Pulse-position modulation, Position (finance), Impulse (physics)

Related papers

Back to paper searchBrowse research topicsOriginal source
Localization in UWB Sensor Networks for Agriculture Environment — Research Paper | ScholarLens