Review of Nature-inspired Methods for Wake-up Scheduling in Wireless Sensor Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096795" target="_blank" >RIV/61989100:27240/15:86096795 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.swevo.2015.07.007" target="_blank" >http://dx.doi.org/10.1016/j.swevo.2015.07.007</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.swevo.2015.07.007" target="_blank" >10.1016/j.swevo.2015.07.007</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Review of Nature-inspired Methods for Wake-up Scheduling in Wireless Sensor Networks

Popis výsledku v původním jazyce

Over the last few decades, algorithms inspired by nature have matured into a widely used class of computing methods. They have shown the ability to adjust to variety of conditions, and have been frequently employed for solving complex, real-world optimization problems. They are especially suitable for problems that require adaptation, and that involve optimization of complex, distributed systems, operating in dynamic environments. Among other application domains, nature-inspired methods have been extensively used in the areas of networking in general, and wireless sensor networks in particular. Energy management and network lifetime optimization are two great research and implementation challenges for wireless sensor networks. Duty cycle management, synchronization, and wake-up scheduling are complementary approaches that facilitate this complex optimization process. This review focuses on the intersection of nature-inspired computing and wake-up scheduling algorithms for wireless sens

Název v anglickém jazyce

Review of Nature-inspired Methods for Wake-up Scheduling in Wireless Sensor Networks

Popis výsledku anglicky

Over the last few decades, algorithms inspired by nature have matured into a widely used class of computing methods. They have shown the ability to adjust to variety of conditions, and have been frequently employed for solving complex, real-world optimization problems. They are especially suitable for problems that require adaptation, and that involve optimization of complex, distributed systems, operating in dynamic environments. Among other application domains, nature-inspired methods have been extensively used in the areas of networking in general, and wireless sensor networks in particular. Energy management and network lifetime optimization are two great research and implementation challenges for wireless sensor networks. Duty cycle management, synchronization, and wake-up scheduling are complementary approaches that facilitate this complex optimization process. This review focuses on the intersection of nature-inspired computing and wake-up scheduling algorithms for wireless sens

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

—

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Swarm and Evolutionary Computation

ISSN

2210-6502

e-ISSN

—

Svazek periodika

25

Číslo periodika v rámci svazku

25

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

19

Strana od-do

100-118

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84952628955