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LI, K. LEU, J. HOŠEK, J.
Original Title
Swarm-Based Routing Protocol Assisted by Weakly Connected Dominating Sets for Mobile Ad-Hoc Networks
Type
journal article in Web of Science
Language
English
Original Abstract
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.
Keywords
Weakly Connected Dominating Set (WCDS), Ant Colony Optimization (ACO), Mobile Adhoc Network (MANET), On-demand routing.
Authors
LI, K.; LEU, J.; HOŠEK, J.
Released
11. 7. 2016
Publisher
Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
Location
Taipei, Taiwan
ISBN
1607-9264
Periodical
JOURNAL OF INTERNET TECHNOLOGY
Year of study
17
Number
4
State
Taiwan
Pages from
671
Pages to
681
Pages count
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" }