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A Topographic-Awareness and Situational-Perception Based Mobility Model with Artificial Bee Colony Algorithm for Tactical MANET

Jinhai Huo¹, Bowen Deng¹, Shuhang Wu¹, Jian Yuan¹ and Ilsun You²

1. Department of Electronic Engineering, Tsinghua University
   Beijing, 100084, China
   horkin0056@126.com, {dbw10, wsh05}@mails.tsinghua.edu.cn, jyuan@tsinghua.edu.cn
2. School of Information Science, Korean Bible University
   Korea
   isyou@bible.ac.kr

Abstract

A topographic-awareness and situational-perception based mobility model with path optimization for tactical MANET is proposed in this paper. Firstly, a formalized process is constructed to generate a random acceleration on nodes as the disturbance caused by small-scale topographic factors in the battlefield. Secondly, a path optimization method with the artificial bee colony algorithm is introduced to mimic the trace planning when the nodes possess the terrain information of battlefield. Thirdly, a topographic-awareness based bypass strategy is proposed to simulate the action of nodes facing large-scale terrain factors in the case when the terrain information is lacking. Finally, a situational-perception based avoidance strategy is built to simulate the process of cognition and decision when there is an encounter with the enemies on the march. The mobility model consists of the four parts above and imitates the dynamic characteristics of tactical nodes in military environment.

Key words

mobility model, tactical MANET, the ABC algorithm, bypass strategy

Digital Object Identifier (DOI)

https://doi.org/10.2298/CSIS120714031H

Publication information

Volume 10, Issue 2 (April 2013)
Special Issue on Advances on Mobile Collaborative Systems
Year of Publication: 2013
ISSN: 2406-1018 (Online)
Publisher: ComSIS Consortium

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How to cite

Huo, J., Deng, B., Wu, S., Yuan, J., You, I.: A Topographic-Awareness and Situational-Perception Based Mobility Model with Artificial Bee Colony Algorithm for Tactical MANET. Computer Science and Information Systems, Vol. 10, No. 2, 725-746. (2013), https://doi.org/10.2298/CSIS120714031H