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LI, K. LEU, J. HOŠEK, J.
Originální název
Swarm-Based Routing Protocol Assisted by Weakly Connected Dominating Sets for Mobile Ad-Hoc Networks
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
With the advancement of the mobile ad-hoc network (MANET), many researches were proposed to increase the efficiency of networks. The important factor affects the performance in MANET is discovering and maintaining paths since the node’s mobility causes topology change, which needs to be observed for effective communication. One of the popular studies for routing in the networks in recent years is the swarm intelligence which imitates the collective behavior of biological species to solve routing problems in the networks. Another efficient method is clustering scheme which can be auxiliary structure to cluster nodes in the network. In this paper, we use weakly connected dominating sets (WCDS) which clusters network by node’s maximum degree or minimum ID to propose an improved ant-based on-demand clustering routing (AOCR) protocol. AOCR uses ant-like agents inspired by the foraging behavior of ant colonies to explore networks and discover a route which fulfills several Quailty of Service (QoS) requirements including minimal traffic overhead or energy-efficiency for MANET.
Klíčová slova
Weakly Connected Dominating Set (WCDS), Ant Colony Optimization (ACO), Mobile Adhoc Network (MANET), On-demand routing.
Autoři
LI, K.; LEU, J.; HOŠEK, J.
Vydáno
11. 7. 2016
Nakladatel
Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
Místo
Taipei, Taiwan
ISSN
1607-9264
Periodikum
JOURNAL OF INTERNET TECHNOLOGY
Ročník
17
Číslo
4
Stát
Tchaj-wan
Strany od
671
Strany do
681
Strany počet
11
BibTex
@article{BUT129754, author="Kuen Han {Li} and Jenq-Shiou {Leu} and Jiří {Hošek}", title="Swarm-Based Routing Protocol Assisted by Weakly Connected Dominating Sets for Mobile Ad-Hoc Networks", journal="JOURNAL OF INTERNET TECHNOLOGY", year="2016", volume="17", number="4", pages="671--681", doi="10.6138/JIT.2016.17.4.20140403", issn="1607-9264" }