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

In this paper, we investigate energy-efficient clustering and medium accesscontrol (MAC) for cellular-based M2M networks to minimize device energyconsumption and prolong network battery lifetime. First, we present an accurateenergy consumption model that considers both static and dynamic energyconsumptions, and utilize this model to derive the network lifetime. Second, wefind the cluster size to maximize the network lifetime and develop anenergy-efficient cluster-head selection scheme. Furthermore, we find feasibleregions where clustering is beneficial in enhancing network lifetime. Wefurther investigate communications protocols for both intra- and inter-clustercommunications. While inter-cluster communications use conventional cellularaccess schemes, we develop an energy-efficient and load-adaptive multipleaccess scheme, called n-phase CSMA/CA, which provides a tunable tradeoffbetween energy efficiency, delay, and spectral efficiency of the network. Thesimulation results show that the proposed clustering, cluster-head selection,and communications protocol design outperform the others in energy saving andsignificantly prolong the lifetimes of both individual nodes and the whole M2Mnetwork.

$E^2$-MAC: Energy Efficient Medium Access for Massive M2M Communications