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A topographic-awareness and situational-perception based mobility model with artificial bee colony algorithm for tactical MANET
Author(s) -
Jinhai Huo,
Bowen Deng,
Shuhang Wu,
Jian Yuan,
Ilsun You
Publication year - 2013
Publication title -
computer science and information systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.244
H-Index - 24
eISSN - 2406-1018
pISSN - 1820-0214
DOI - 10.2298/csis120714031h
Subject(s) - computer science , terrain , situation awareness , battlefield , perception , motion planning , artificial bee colony algorithm , process (computing) , artificial intelligence , situational ethics , swarm intelligence , operations research , algorithm , particle swarm optimization , robot , history , ecology , ancient history , neuroscience , law , political science , engineering , biology , aerospace engineering , operating system
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.

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