Bio-inspired Routing Strategies for Wireless Sensor Networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F15%3A86096794" target="_blank" >RIV/61989100:27240/15:86096794 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-15916-4_7" target="_blank" >http://dx.doi.org/10.1007/978-3-319-15916-4_7</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-15916-4_7" target="_blank" >10.1007/978-3-319-15916-4_7</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Bio-inspired Routing Strategies for Wireless Sensor Networks

Popis výsledku v původním jazyce

Successful behavioural and communication strategies of biotic communities can serve as an inspiration for algorithms used to design, manage, and control real-world networks. Many natural systems exhibit complex yet efficient behaviours. Some animal communities display sophisticated behavioural patterns arising from fairly simple activities of theirmembers. The behaviours of ant colonies, swarms of bees, schools of fish, and even some human communities, can be seen as properties of distributed systems consisting of individual agents performing straightforward actions and communicating using simple strategies. Formally, the behaviour of such communities can be modelled as a massive yet intuitive multiagent system. The ensuing models can be applied to a variety of networking problems. This chapter looks at routing inwireless sensor networks and mobile ad-hoc networks as tasks that bear similarities to communication in biotic societies and swarms, and underlines the role of propagation phe

Název v anglickém jazyce

Bio-inspired Routing Strategies for Wireless Sensor Networks

Popis výsledku anglicky

Successful behavioural and communication strategies of biotic communities can serve as an inspiration for algorithms used to design, manage, and control real-world networks. Many natural systems exhibit complex yet efficient behaviours. Some animal communities display sophisticated behavioural patterns arising from fairly simple activities of theirmembers. The behaviours of ant colonies, swarms of bees, schools of fish, and even some human communities, can be seen as properties of distributed systems consisting of individual agents performing straightforward actions and communicating using simple strategies. Formally, the behaviour of such communities can be modelled as a massive yet intuitive multiagent system. The ensuing models can be applied to a variety of networking problems. This chapter looks at routing inwireless sensor networks and mobile ad-hoc networks as tasks that bear similarities to communication in biotic societies and swarms, and underlines the role of propagation phe

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

Intelligent Systems Reference Library. Volume 85

ISSN

1868-4394

e-ISSN

—

Svazek periodika

85

Číslo periodika v rámci svazku

85

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

27

Strana od-do

155-181

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-84925307152