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

Wireless sensor networks have significant potential to increase our abilityto view and control the physical environment, but the issue of powerconsumption in these networks has become an important parameter in theirreliability and since in many applications of networks. Wireless sensor needsto guarantee end-to-end quality parameters, support for quality of service inthese networks is of utmost importance. In wireless sensor networks, one of themost important issues is the lifetime of each network, which is directlyrelated to the energy consumption of the network sensors. Increasing networklifetime is one of the most challenging requirements in these types ofnetworks. This paper presents a clustering approach to reduce power consumptionin wireless sensor networks, which is the most effective method for scalabilityand energy consumption reduction in sensor networks. The simulation resultsshow that the proposed algorithm can reduce the energy consumption of thewireless sensor network and dramatically increase the lifetime of the network.

Extend the lifetime of wireless sensor networks by modifying cluster-based data collection