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 Tools annual

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 Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Maximum target coverage by adjusting the orientation of distributed sensorsis an important problem in directional sensor networks (DSNs). This problem ischallenging as the targets usually move randomly but the coverage range ofsensors is limited in angle and distance. Thus, it is required to coordinatesensors to get ideal target coverage with low power consumption, e.g. nomissing targets or reducing redundant coverage. To realize this, we propose aHierarchical Target-oriented Multi-Agent Coordination (HiT-MAC), whichdecomposes the target coverage problem into two-level tasks: targets assignmentby a coordinator and tracking assigned targets by executors. Specifically, thecoordinator periodically monitors the environment globally and allocatestargets to each executor. In turn, the executor only needs to track itsassigned targets. To effectively learn the HiT-MAC by reinforcement learning,we further introduce a bunch of practical methods, including a self-attentionmodule, marginal contribution approximation for the coordinator,goal-conditional observation filter for the executor, etc. Empirical resultsdemonstrate the advantage of HiT-MAC in coverage rate, learning efficiency,andscalability, comparing to baselines. We also conduct an ablative analysis onthe effectiveness of the introduced components in the framework.

Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks