z-logo
open-access-imgOpen Access
Minimizing Energy Consumption in Wireless Ad hoc Networks with Meta heuristics
Author(s) -
Ibukunola Abosede Modupe,
Oludayo O. Olugbara,
Abiodun Modupe
Publication year - 2013
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2013.06.019
Subject(s) - computer science , wireless ad hoc network , energy consumption , computer network , optimized link state routing protocol , heuristics , ad hoc wireless distribution service , wireless , fidelity , simulated annealing , distributed computing , algorithm , telecommunications , ecology , biology , operating system
The objective of this study is to describe an energy function model base on Geographic Adaptive Fidelity (GAF), which is one of the best known topology management schemes used in saving energy consumption in ad-hoc wireless networks. In wireless ad-hoc network, the nodes responsible for the transmission of data are battery-operated and as a result, there is a need for energy to be conserved in order to prolong the battery lifespan. Genetic Algorithm (GA) and Simulated Annealing (SA) metaheuristics are compared to minimize the energy consumption in ad-hoc wireless networks modelled by rectangular GAF. Results show that GA and SA meta-heuristics are useful optimization techniques for minimizing the energy consumption in ad-hoc wireless networks

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom