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Optimal 1-coverage by homogeneous mobile sensor nodes using hexagonal scheme

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Networking Science

Abstract

Mobile sensor nodes are featured with node mobility along with standard sensor functions. They can move around after being deployed. In many situations placement of static sensor nodes might not be possible and human intervention is not feasible. Mobile sensor nodes are very useful in such hazardous and disastrous situations. When a group of mobile sensor nodes are deployed to cover an area for search operations, coordination among the deployed nodes is very important. A mobile sensor node (MSN) depletes more energy during the traversal. Whenever there arises a failure, in one of the deployed mobile sensor nodes, the remaining fault-free mobile sensor nodes should travel to cover the remaining uncovered area. In this work we propose a Mobile Traversal Algorithm (MTA), for mobile sensor nodes to cover a rectangular region of interest (ROI). It makes MSNs to travel shorter distances to extend effective operational duration of the network and also to provide fault tolerance mechanism.

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References

  1. X. Bai, Z. Yun, D. Xuan, T. H. Lai, and W. Jia, “Optimal patterns for four-connectivity and full coverage in wireless sensor networks,” IEEE Trans. Mobile Comput., vol. 9, no. 3, pp. 435–448, Mar. 2010.

    Article  Google Scholar 

  2. R. J. D’Souza, G. Santoshi, and J. Jose, “Optimal 1-coverage by homogenous mobile sensor nodes using tri-hexagonal scheme,” in Proc. Int. Conf. Computer Communication and Informatics (ICCCI), Coimbatore, India, 2012, vol. 3, pp. 554–558.

    Google Scholar 

  3. G. N. Purohit, S. Verma, and M. Sharma, “Hexagonal coverage by mobile sensor nodes,” Int. J. Comput. Netw. Secur., vol. 2, no. 4, pp. 41–44, 2010.

    Google Scholar 

  4. V. S. Gordon, Y. L. Orlovich, and F. Werner, “Hamiltonian properties of triangular grid graphs,” Discrete Math., vol. 308, no. 24, pp. 6166–6188, Dec. 2008.

    Article  MATH  MathSciNet  Google Scholar 

  5. S. He, J. Chen, Y. Sun, D. K. Y. Yau, and N. K. Yip, “On optimal information capture by energy-constrained mobile sensors,” IEEE Trans. Veh. Technol., vol. 59, no. 5, pp. 2472–2484, Jun. 2010.

    Article  Google Scholar 

  6. A. Itai, C. H. Papadimitriou, and J. L. Szwarcfiter, “Hamilton paths in grid graphs,” SIAM J. Comput., vol. 11, no. 4, pp. 676–686, 1982.

    Article  MATH  MathSciNet  Google Scholar 

  7. A. Khan, C. Qiao, and S. K. Tripathi, “Mobile traversal schemes based on triangulation coverage,” Mobile Netw. Appl., vol. 12, nos. 5–6, pp. 422–437, Dec. 2007.

    Article  Google Scholar 

  8. R. Kreshner, “The number of circles covering a set,” Amer. J. Math., vol. 61, no. 3, pp. 665–671, Jul. 1939.

    Article  MathSciNet  Google Scholar 

  9. R. J. D’Souza and G Santoshi, “Optimal 2-coverage by heterogeneous mobile sensor nodes using triangular scheme,” Procedia Technol., vol. 4, pp. 187–195, 2012.

    Article  Google Scholar 

  10. Z. Sun and J. Reif, “On energy-minimizing paths on terrains for a mobile robot,” in Proc. IEEE Int. Conf. Robotics and Automation (ICRA), 2003, vol. 3, pp. 3782–3788.

    Google Scholar 

  11. G. Wang, M. J. Irwin, P. Berman, H. Fu, and T. La Porta, “Optimizing sensor movement planning for energy efficiency,” in Proc. Int. Symp. Low Power Electronics and Design (ISLPED), San Diego, CA, USA, 2005, pp. 215–220.

    Google Scholar 

  12. S. Yoon, O. Soysal, M. Demirbas, and C. Qiao, “Coordinated locomotion and monitoring using autonomous mobile sensor nodes,” IEEE Trans. Parallel Distrib. Syst., vol. 22, no. 10, pp. 1742–1756, Oct. 2011.

    Article  Google Scholar 

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Correspondence to Ganala Santoshi.

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Santoshi, G., D’Souza, R.J. Optimal 1-coverage by homogeneous mobile sensor nodes using hexagonal scheme. Netw.Sci. 3, 96–107 (2013). https://doi.org/10.1007/s13119-013-0027-1

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  • DOI: https://doi.org/10.1007/s13119-013-0027-1

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