Swarm Robots Communication-base Mobile Ad-Hoc Network (MANET)

Bambang Tutuko, Siti Nurmaini

Abstract


This paper describes the swarm robots communication and control base Mobile ad-hoc network (MANET). MANET is a source of codes which migrate the network, collects and exchanges information of network nodes. In this work, the communication networks, which do not rely on fixed, preinstalled communication devices like base stations or predefine communication cells. Communications standards are considered in this work use the ad-hoc network such as Wireless LAN, X-Bee/Zig-Bee and Internet platform. All standards are integrated on swarm robots for real experiments. For finding the target, Particle swarm optimization (PSO) algorithm is proposed to control the real swarm robots communication in unknown experiment. As a results swarm robots-base MANET use PSO algorithm produce past response to find the target and swarm robots can move in the group without collision.

Keywords


component; swarm robots; MANET; communication system

References


Kulkarni R. V., Venayagamoorthy, G. K., Miller, A., and Dagli, C. H. Network-centric localization in MANETs based on particle swarm optimization. In Swarm Intelligence Symposium, 2008. IEEE, (2008) pp. 1-6

Sahin, Safak, C., Elkin Urrea, Uyar, M.U., Conner, M., Hokelek, I., Bertoli, G., and Pizzo, C. Uniform distribution of mobile agents using genetic algorithms for military applications in MANETs. In Military Communications Conference, 2008. MILCOM 2008. IEEE, (2008) pp. 1-7

Ducatelle, Frederick, Gianni A. Di Caro, and Luca M. Gambardella. Robot navigation in a networked swarm. Intelligent Robotics and Applications. Springer Berlin Heidelberg, (2008) pp. 275-285.

Cornejo, K., F., Ley-Wild, R., and Lynch, N. Keeping mobile robot swarms connected. Distributed Computing. Springer Berlin Heidelberg, (2009) pp. 496-511.

Di Caro, Gianni A., Frederick Ducatelle, and Luca M. Gambardella. 2009. Wireless communications for distributed navigation in robot swarms. Applications of Evolutionary Computing. Springer Berlin Heidelberg, (2009) pp. 21-30.

Ogren, P. Particle swarm optimization algorithm is utilized for swarm robots communication to achieve target position., Fiorelli, E., and Leonard, N.E. 2004. Cooperative control of mobile sensor networks: Adaptive gradient climbing in a distributed environment. Automatic Control, IEEE Transactions on (2004) 49(8):1292-1302.

Ren, W., and Sorensen, N.. Distributed coordination architecture for multi-robot formation control. Robotics and Autonomous Systems (2008) 56(4):324-333.

Fierro, Rafael, et al. Cooperative control of robot formations. Cooperative control and optimization. Springer US, (2002) pp. 73-93.

Eberhart, R.C and Shi, Y. (2001). Particle Swarm Optimization: Developments, applications and resources, Proc. of The IEEE Congress on Evolutionary Computation, IEEE Press, Seoul, Korea, pp. 81-86,

Marques, Lino, Urbano Nunes, and Anibal T. de Almeida 2006. Particle swarm-based olfactory guided search. Autonomous Robots (2006) 20(3): 277-287.

Nurmaini, S., Tutuko, B and Thoharsin, A.R. Intelligent Mobile Olfaction of Swarm Robots. IAES International Journal of Robotics and Automation (2013) 2(4):189-198.

Turduev, Mirbek, et al. Cooperative chemical concentration map building using decentralized asynchronous particle swarm optimization based search by mobile robots. Intelligent Robots and Systems (IROS), (2010) pp. 4175-4180


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