Abstract
In this paper, we investigate coverage control problem for mobile sensor networks. The novelty is to consider an anisotropic sensor model whose performance depends not only on the distance but also on the orientation to a target point. By adapting Lloyd algorithm, a distributed control law is derived. Aside from coverage, we also show that the control law guarantees collision avoidance between the agents. The performance of the control laws is demonstrated through not only numerical simulation but also experiments on a mobile robot test bed.
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Cortes J, Martinez S, Karatas T, Bullo F (2004) Coverage control for mobile sensing networks. IEEE Trans Robot Autom 20(2): 243–255
Cortes J, Martinez S, Bullo F (2005) Spatially-distributed coverage optimization and control with limited-range interactions. ESAIM Control Optim Calc Var 11: 691–719
Kwok A, Martinez S (2007) Energy-balancing cooperative strategies for sensor deployment. IEEE conference on decision and control, pp 6136–6141
Li W, Cassandras CG (2005) Distributive cooperative coverage control of sensor networks. IEEE conference on decision and control, pp 2542–2547
Howard A, Mataric MJ, Sukhatme GS (2002) Mobile sensor network deployment using potential fields: a distributed, scalable solution to the area coverage problem. In: Proceedings of the 6th international symposium on distributed autonomous robotics systems, pp 299–308
Dimarogonas DV, Kyriakopoulos KJ (2007) An inverse agreement control strategy with application to swarm dispersion. IEEE conference on decision and control, pp 6148–6153
Hussein II, Stipanovic DM (2007) Effective coverage control for mobile sensor networks with guaranteed collision avoidance. IEEE transactions on control systems technology. Special issue on multi-vehicle systems cooperative control with applications, vol 15, No. 4, pp 642–657
Hubel N, Hirche S, Gusrialdi A, Hatanaka T, Fujita M, Sawodny O (2008) Coverage control with information decay in dynamic environments. 17th IFAC World Congress, pp 4180–4185
Hokayem PF, Stipanovic DM, Spong MW (2007) Dynamic coverage control with limited communication. The American control conference, pp 4878–4883
Hokayem PF, Stipanovic DM, Spong MW (2007) On persistent coverage control. IEEE conference on decision and control, pp 6130–6135
Favalli L, Gamba P, Gatti T, Mecocci A (1996) Multi-radar data fushion for object tracking and shape estimation. Signal Process 48(3): 235–239
Labelle F, Shewchuk JR (2003) Anisotropic voronoi diagrams and guaranteed-quality anisotropic mesh generation. In: Proceedings of the 19th ACM symposium on computational geometry, pp 191–200
Igarashi Y, Fujita M, Spong MW (2007) Passivity-based 3D attitude coordination: convergence and connectivity. In: Proceedings of the IEEE conference on decision and control, pp 2558–2565
Feng L, Hotz I, Hamann B, Joy KI (2008) Anisotropic noise samples. IEEE Trans Vis Comput Graph 14(2): 342–354
Du Q, Emelianenko M, Ju L (2006) Convergence of the Lloyd algorithm for computing centroidal Voronoi tessellations. SIAM J Numer Anal 44(1): 102–119
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Gusrialdi, A., Hirche, S., Asikin, D. et al. Voronoi-based coverage control with anisotropic sensors and experimental case study. Intel Serv Robotics 2, 195–204 (2009). https://doi.org/10.1007/s11370-009-0047-6
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DOI: https://doi.org/10.1007/s11370-009-0047-6