[go: up one dir, main page]
More Web Proxy on the site http://driver.im/ skip to main content
10.1109/ICCS.2012.58guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

Performance Evaluation of AntHocNet Routing Algorithm in Ad Hoc Networks

Published: 14 September 2012 Publication History

Abstract

Ad hoc wireless multi-hop networks (AHWMNs) are communication networks that consist of wireless nodes, placed together in an ad hoc manner, i.e. with minimal prior planning. All nodes in the network have routing capabilities and forward data packets for other nodes in multi-hop fashion. AHWMNs pose substantially different challenges to routing protocols than more traditional wired networks. AHWMN routing protocols are classified as topology-based, position-based and bio-inspired routing protocols. Topology-based routing protocols use the information about the links that exist in the network to perform packet forwarding. Position-based routing algorithms require information about the physical position of the participating node. Bio-inspired networks are one engineering field which has many parallels with biology and hence the solutions of biology can be used to solve the problems of computer networks. Ant Colony Optimization (ACO) is a metaheuristic inspired by the shortest path searching behaviour of various ant species. Ant Colony Optimization (ACO) routing algorithm is one of the adaptive and efficient routing algorithms for AHWMNs. In ACO routing algorithms, ant-like agents traverse the network to search a path from source to destination, and lay down pheromone on the path. A data packet is transferred along a path selected with probability based on the amount of pheromone. Ant Hoc Net is based on Ant Colony Optimization technique. It is a hybrid algorithm that combines a reactive route setup process with a proactive route maintenance process. The reactive route setup is carried out at the start of a communication session or whenever the source of a current session has no more routing information available for the destination. The proactive route maintenance is run for the entire duration of the session. Its aim is to keep information about existing routes up to date and explore new routes. In this paper performance of Ant Hoc Net with the Ad hoc On demand distance Vector (AODV) routing protocol and Dynamic Source Routing (DSR) protocol is compared.

Cited By

View all
  • (2017)A Survey and Comparative Study of Hard and Soft Real-Time Dynamic Resource Allocation Strategies for Multi-/Many-Core SystemsACM Computing Surveys10.1145/305726750:2(1-40)Online publication date: 11-Apr-2017
  • (2017)Energy and Delay Efficient Dynamic Cluster Formation Using Improved Ant Colony Optimization Algorithm in EAACK MANETsWireless Personal Communications: An International Journal10.1007/s11277-016-3864-x95:2(1531-1552)Online publication date: 1-Jul-2017

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Guide Proceedings
ICCS '12: Proceedings of the 2012 International Conference on Computing Sciences
September 2012
385 pages
ISBN:9780769548173

Publisher

IEEE Computer Society

United States

Publication History

Published: 14 September 2012

Author Tags

  1. AHWMN
  2. AODV
  3. Ant
  4. AntHocNet
  5. DSR
  6. Performance

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 01 Jan 2025

Other Metrics

Citations

Cited By

View all
  • (2017)A Survey and Comparative Study of Hard and Soft Real-Time Dynamic Resource Allocation Strategies for Multi-/Many-Core SystemsACM Computing Surveys10.1145/305726750:2(1-40)Online publication date: 11-Apr-2017
  • (2017)Energy and Delay Efficient Dynamic Cluster Formation Using Improved Ant Colony Optimization Algorithm in EAACK MANETsWireless Personal Communications: An International Journal10.1007/s11277-016-3864-x95:2(1531-1552)Online publication date: 1-Jul-2017

View Options

View options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media