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Reseach Article

ACO based Clustering Protocol for Resource Constrained Mobile Adhoc Networks

by Shilpa Suresh, Aby K Thomas
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 8
Year of Publication: 2012
Authors: Shilpa Suresh, Aby K Thomas
10.5120/6124-8338

Shilpa Suresh, Aby K Thomas . ACO based Clustering Protocol for Resource Constrained Mobile Adhoc Networks. International Journal of Computer Applications. 43, 8 ( April 2012), 22-29. DOI=10.5120/6124-8338

@article{ 10.5120/6124-8338,
author = { Shilpa Suresh, Aby K Thomas },
title = { ACO based Clustering Protocol for Resource Constrained Mobile Adhoc Networks },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 8 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 22-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number8/6124-8338/ },
doi = { 10.5120/6124-8338 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:32:54.298450+05:30
%A Shilpa Suresh
%A Aby K Thomas
%T ACO based Clustering Protocol for Resource Constrained Mobile Adhoc Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 8
%P 22-29
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Mobile Ad-hoc networks (MANETs) are increasingly popular with recent advancements in computer and communications technologies. A mobility-based clustering (MBC) protocol for wireless ad hoc network with mobile nodes works well in an energy constrained network environment, where a node elects itself as a cluster-head based on its residual energy and mobility. A non-cluster-head node aims at its link stability with a cluster head during its association in the estimated connection time. In a centralized network, data packets from source need to travel to the destination with minimum number of hops, which commendably reduces the energy requirement. Still there exist chances for congestion occurrence in course of the transmission if all the source nodes select the same sequence of hops for their transmission. In the distributed network scenario, each non-cluster-head node is allocated a timeslot for data transmission to the destination. Analyzing the performance of such centralized and distributed network shows the dependency of source node on other nodes for transmission, high delay and low packet delivery ratio. We propose a new routing mechanism based on ant colony algorithm to average the energy consumption of main nodes and reduce the transmission time so as to give a balance of energy consumption between nodes. Thus Ant colony algorithm with centralized and distributed network can give better performance characteristics.

References
  1. The Handbook of wireless Adhoc Network edited by Mohammad Ilyas.
  2. Handbook of Wireless Networks and Mobile Computing, Edited by Ivan Stojmenovic´.
  3. Xie Hui , Zhang Zhi-gang ,NIE Feng,A Novel Routing Protocol in Wireless Sensor Networks based on Ant Colony Optimization, International Journal of Intelligent Information Technology Application, 2010
  4. Marco Dorigoa,, Christian Blum, Ant colony optimization theory: A survey,
  5. Lianyu Wang, Qinglin Sun, Hongwen Mal, Energy Consumption Optimize Based On Ant Colony Algorithm For Wireless Sensor Networks , 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics
  6. Wenjing Guo, Wei Zhang, Gang Lu,PEGASIS Protocol in Wireless Sensor Network Based on an Improved Ant Colony Algorithm, 2010 Second International Workshop on Education Technology and Computer Science
  7. Xiao-Min Hu and Jun Zhang ,Ant Routing Optimization Algorithm for Extending the Lifetime of Wireless Sensor Networks , 2010 IEEE
  8. Wei Gao, Qinglin Sun, Zengqiang Chen ,Optimal Energy Consumption in Wireless Sensor Networks by Using the Ant Colony Algorithm(ACA) , 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering
  9. Xin Guan, L. Guan , X. G. Wang, Tomoaki Ohtsuki ,A Novel Routing Algorithm based on Ant Colony System for Wireless Sensor Networks, 2009 IEEE
  10. The IEEE website. [Online]. Available: http://www. ieee. org/
  11. The Handbook of wireless Adhoc Network edited by Mohammad Ilyas.
  12. Handbook of Wireless Networks and Mobile Computing, Edited by Ivan Stojmenovic
Index Terms

Computer Science
Information Sciences

Keywords

Manet Routing Protocols Centralized And Decentralized Network Ant Colony Optimization