Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Ant Routing Optimization Algorithm for Extending the Lifetime of Wireless Sensor Networks

Authors
Hu, Xiao-MinZhang, Jun
Issue Date
Oct-2010
Publisher
IEEE
Keywords
Ant colony optimization; ant colony system; routing optimization; wireless sensor networks
Citation
2010 IEEE International Conference on Systems, Man and Cybernetics, pp 738 - 744
Pages
7
Indexed
SCIE
SCOPUS
Journal Title
2010 IEEE International Conference on Systems, Man and Cybernetics
Start Page
738
End Page
744
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/116034
DOI
10.1109/ICSMC.2010.5641841
ISSN
1062-922X
Abstract
Since sensors are energy-limited in a wireless sensor network (WSN), how to balance the energy consumption among the sensors in the network so as to prolong the lifetime of the whole network is a critical research topic in the development of WSNs. In this paper, a novel ant routing optimization (ARO) algorithm is proposed for taking advantage of the redundant sensors in the network to help relay the sensed data traffic to the sink. By choosing suitable relay nodes, the lifetime of the sensing sensors are extended, resulting in the extension of the whole network lifetime. The ARO algorithm searches energy-efficient routing trees by considering the energy consumption of sensing, data transmission and reception. Simulation results show that ARO finds much better routing trees than the minimum transmission energy routing scheme.
Files in This Item
Appears in
Collections
COLLEGE OF ENGINEERING SCIENCES > SCHOOL OF ELECTRICAL ENGINEERING > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher ZHANG, Jun photo

ZHANG, Jun
ERICA 공학대학 (SCHOOL OF ELECTRICAL ENGINEERING)
Read more

Altmetrics

Total Views & Downloads

BROWSE