A Modified Discrete Differential Evolution based TDMA scheduling scheme for many to one communications in wireless sensor networks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F11%3A86097100" target="_blank" >RIV/61989100:27240/11:86097100 - isvavai.cz</a>

Výsledek na webu

<a href="http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949854" target="_blank" >http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5949854</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/CEC.2011.5949854" target="_blank" >10.1109/CEC.2011.5949854</a>

Jazyk výsledku

angličtina

Název v původním jazyce

A Modified Discrete Differential Evolution based TDMA scheduling scheme for many to one communications in wireless sensor networks

Popis výsledku v původním jazyce

Time Division Multiple Access (TDMA) plays an important role in MAC (Medium Access Control) for wireless sensor networks providing real-time guarantees and potentially reducing the delay and also it saves power by eliminating collisions. In TDMA based MAC, the sensor are not allowed to radiate signals when they are not engaged. On the other hand, if there are too many switching between active and sleep modes it will also unnecessary waste energy. In this paper, we have presented a multi-objective TDMA scheduling problem that has been demonstrated to prevent the wasting of energy discussed above and also further improve the time performance. A Modified Discrete Differential Evolution (MDDE) algorithm has been proposed to enhance the converging process in the proposed effective optimization framework. Simulation results are given with different network sizes. The results are compared with the Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) and the original Discrete DE algori

Název v anglickém jazyce

A Modified Discrete Differential Evolution based TDMA scheduling scheme for many to one communications in wireless sensor networks

Popis výsledku anglicky

Time Division Multiple Access (TDMA) plays an important role in MAC (Medium Access Control) for wireless sensor networks providing real-time guarantees and potentially reducing the delay and also it saves power by eliminating collisions. In TDMA based MAC, the sensor are not allowed to radiate signals when they are not engaged. On the other hand, if there are too many switching between active and sleep modes it will also unnecessary waste energy. In this paper, we have presented a multi-objective TDMA scheduling problem that has been demonstrated to prevent the wasting of energy discussed above and also further improve the time performance. A Modified Discrete Differential Evolution (MDDE) algorithm has been proposed to enhance the converging process in the proposed effective optimization framework. Simulation results are given with different network sizes. The results are compared with the Particle Swarm Optimization (PSO) and Genetic Algorithm (GA) and the original Discrete DE algori

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GA102%2F09%2F1494" target="_blank" >GA102/09/1494: Nové metody přenosu dat založené na turbo kódech</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2011

Kód důvěrnosti údajů

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

Název statě ve sborníku

2011 IEEE Congress of Evolutionary Computation, CEC 2011

ISBN

978-1-4244-7834-7

ISSN

—

e-ISSN

—

Počet stran výsledku

8

Strana od-do

1950-1957

Název nakladatele

IEEE

Místo vydání

New York

Místo konání akce

New Orleans

Datum konání akce

5. 6. 2011

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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