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

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
Review of Nature-inspired Methods for Wake-up Scheduling in Wireless Sensor Networks
Original language description
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
Czech name
—
Czech description
—

Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
IN - Informatics
OECD FORD branch
—

Publication year
2015
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Similar results(10)