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 Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Density control is a promising approach to conserving system energy and extending lifetime of wireless sensor networks. Most of previous work in this field has focused on selecting a minimal subset of active sensor nodes for high efficiency while guaranteeing only 1-coverage (or plus 1-connectivity of the network). In this paper, we address the issue of constructing a k-connected k-cover set of a wireless sensor network for fault tolerance and balance efficiency. We propose a distributed, localized algorithm based on self-pruning for selecting active sensor nodes to form a k-connected k-cover set for the target region. The performance of the proposed algorithm is evaluated through numerical experiments.

Constructing k-Connected k-Cover Set in Wireless Sensor Networks Based on Self-pruning