Notice of Violation of IEEE Publication Principles: MARP: A Multi-Agent Routing Protocol for Ad-hoc Network

Notice of Violation of IEEE Publication Principles

"MARP: A Multi-Agent Routing Protocol for Ad-hoc Network"
by Mohammad Taghi Kheirabadi and Hossein Mohammadi
in the Proceedings of the Second International Conference on Communications and Networking in China (CHINACOM), August 2007, pp. 234-238

After careful and considered review of the content and authorship of this paper by a duly constituted expert committee, this paper has been found to be in violation of IEEE's Publication Principles.

This paper is a duplication of the original text from the paper cited below. The original text was copied without attribution (including appropriate references to the original author(s) and/or paper title) and without permission.

Due to the nature of this violation, reasonable effort should be made to remove all past references to this paper, and future references should be made to the following article:

"ADIAN: A Distributed Intelligent Ad-Hoc Network"
by Saeed Shahbazi, Gholamreza Ghassem-Sani, Hamidreza Rabiee, Mohammad Ghanbari, and Mehdi Dehghan
in the Proceedings of the 8th International Conference on Distributed Computing and Networking (ICDCN) Springer-Verlag, 2006, pp. 27-39


Mobile Ad-hoc Networks are networks that have a dynamic topology without any fixed infrastructure. To transmit information in ad-hoc networks, we need robust protocols that can cope with constant changes in the network topology. The known routing protocols for mobile ad-hoc networks can be classified in two major categories: proactive routing protocols and reactive routing protocols. Proactive routing protocols keep the routes up-to-date to reduce delay in real-time applications but they have high control overhead. The control overhead in reactive routing protocols is much less than proactive routing protocols; however, the routes are discovered on demand, which is not suitable for real-time applications. We have introduced a new routing system for mobile ad-hoc networks called MARP, which is based on the concepts of Distributed Artificial Intelligence (DAI). In MARP, every node acts as an independent and autonomous agent that collaborates with other agents in the system. Our experimental results have verified the efficiency and robustness of MARP under dynamic conditions of ad-hoc networks