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

Wireless sensor networks have attracted much attention because of manyapplications in the fields of industry, military, medicine, agriculture, andeducation. In addition, the vast majority of researches has been done to expandits applications and improve its efficiency. However, there are still manychallenges for increasing the efficiency in different parts of this network.One of the most important parts is to improve the network lifetime in thewireless sensor network. Since the sensor nodes are generally powered bybatteries, the most important issue to consider in these types of networks isto reduce the power consumption of the nodes in such a way as to increase thenetwork lifetime to an acceptable level. The contribution of this paper isusing topology control, the threshold for the remaining energy in nodes, andtwo of the meta-algorithms include SA (Simulated annealing) and VNS (VariableNeighbourhood Search) to increase the energy remaining in the sensors.Moreover, using a low-cost spanning tree, an appropriate connectivity controlamong nodes is created in the network in order to increase the networklifetime. The results of simulations show that the proposed method improves thesensor lifetime and reduces the energy consumed.

Energy-efficient topology to enhance the wireless sensor network lifetime using connectivity control