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

Result code in 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>
Result on the web
<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>

Result language
angličtina
Original language name
A Modified Discrete Differential Evolution based TDMA scheduling scheme for many to one communications in wireless sensor networks
Original language description
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
Czech name
—
Czech description
—

Project
<a href="/en/project/GA102%2F09%2F1494" target="_blank" >GA102/09/1494: New methods od data transmition based on turbo code</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
2011 IEEE Congress of Evolutionary Computation, CEC 2011
ISBN
978-1-4244-7834-7
ISSN
—
e-ISSN
—
Number of pages
8
Pages from-to
1950-1957
Publisher name
IEEE
Place of publication
New York
Event location
New Orleans
Event date
Jun 5, 2011
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)