Abstract
The rapid development of MANETs poses substantially different challenges for routing protocols in comparison with traditional wired networks. New classes for routing algorithms have emerged, for example Ant Colony Optimization (ACO), which is inspired by the collective behavior of various ant species. ACO algorithms use control packets to search for the shortest path from source to destination. The heuristic of ACO is able to find alternative paths to the same destination. A data packet is transferred along a path selected based on a favorability probability. In this paper we propose ANTMANET, a novel ACO routing protocol utilizing the location information by adding a local zone technique to create faster route discovery by using less control packets resulting in less overhead. ANTMANET has proven better overhead and less delay when compared to different MANET routing protocols.
Original language | English |
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Title of host publication | 2015 7th International Conference on Computational Intelligence, Communication Systems and Networks |
Subtitle of host publication | 3-5 June 2015 |
Editors | David Al-Dabass, Yuri Merkuryev, Andrejs Romanovs, Galina Merkuryeva |
Publisher | Institute of Electrical and Electronics Engineers |
Number of pages | 6 |
ISBN (Electronic) | 978-1-4673-7016-5 |
DOIs | |
Publication status | Published - 29 Oct 2015 |
Event | 7th International Conference on Computational Intelligence, Communication Systems and Networks - Riga, Latvia Duration: 3 Jun 2015 → 5 Jun 2015 |
Conference
Conference | 7th International Conference on Computational Intelligence, Communication Systems and Networks |
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Abbreviated title | CICSYN2015 |
Country/Territory | Latvia |
City | Riga |
Period | 3/06/15 → 5/06/15 |
Keywords
- Swarm Intelligence
- Mobile ad-hoc Network (MANET)
- Mobility
- Routing
- Ant Colony Optimization