English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

We consider the problem of sensor localization in a wireless network in amultipath environment, where time and angle of arrival information areavailable at each sensor. We propose a distributed algorithm based on beliefpropagation, which allows sensors to cooperatively self-localize with respectto one single anchor in a multihop network. The algorithm has low overhead andis scalable. Simulations show that although the network is loopy, the proposedalgorithm converges, and achieves good localization accuracy.

Cooperative and Distributed Localization for Wireless Sensor Networks in Multipath Environments