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Energy-Optimal Broadcast in a Tree with Mobile Agents

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Algorithms for Sensor Systems (ALGOSENSORS 2017)

Abstract

A set of k mobile agents is deployed at the root r of a weighted, n-node tree T. The weight of each tree edge represents the distance between the corresponding nodes along the edge. One node of the tree, the source s, possesses a piece of information which has to be communicated (broadcasted) to all other nodes using mobile agents. An agent visiting a node, which already possesses the information, automatically acquires it and communicates it to all nodes subsequently visited by this agent. The process finishes when the information is transferred to all nodes of the tree.

The agents spend energy proportionally to the distance traversed. The problem considered in this paper consists in finding the minimal total energy, used by all agents, needed to complete the broadcasting. We give an \(O(n \log n)\) time algorithm solving the problem. If the number of agents is sufficiently large (at least equal to the number of leaves of T), then our approach results in an O(n) time algorithm.

When the source of information s is initially at the root r, our algorithm solves the problem of searching the tree (exploring it) by a set of agents using minimal energy. It is known that, even if the tree is a line, the broadcasting problem and the search problem are NP-complete when the agents may be initially placed at possibly many distinct arbitrary positions.

J. Czyzowicz—Supported by NSERC grant of Canada.

K. Diks and W. Rytter—Supported by the grant NCN2014/13/B/ST6/00770 of the Polish Science Center.

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References

  1. Anaya, J., Chalopin, J., Czyzowicz, J., Labourel, A., Pelc, A., Vaxès, Y.: Collecting information by power-aware mobile agents. In: Aguilera, M.K. (ed.) DISC 2012. LNCS, vol. 7611, pp. 46–60. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-33651-5_4

    Chapter  Google Scholar 

  2. Albers, S.: Energy-efficient algorithms. Commun. ACM 53(5), 86–96 (2010)

    Article  Google Scholar 

  3. Albers, S., Henzinger, M.R.: Exploring unknown environments. SIAM J. Comput. 29(4), 1164–1188 (2000)

    Article  MathSciNet  MATH  Google Scholar 

  4. Ambühl, C., Gasieniec, L., Pelc, A., Radzik, T., Zhang, X.: Tree exploration with logarithmic memory. ACM Trans. Algorithms 7(4), 1–21 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  5. Augustine, J., Irani, S., Swamy, C.: Optimal powerdown strategies. SIAM J. Comput. 37, 1499–1516 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  6. Averbakh, I., Berman, O.: A heuristic with worst-case analysis for minimax routing of two traveling salesmen on a tree. Discret. Appl. Math. 68, 17–32 (1996)

    Article  MATH  Google Scholar 

  7. Awerbuch, B., Goldreich, O., Peleg, D., Vainish, R.: A trade-off between information and communication in broadcast protocols. J. ACM 37(2), 238–256 (1990)

    Article  MathSciNet  MATH  Google Scholar 

  8. Azar, Y.: On-line load balancing. In: Fiat, A., Woeginger, G.J. (eds.) Online Algorithms. LNCS, vol. 1442, pp. 178–195. Springer, Heidelberg (1998). https://doi.org/10.1007/BFb0029569

    Chapter  Google Scholar 

  9. Baeza-Yates, R.A., Schott, R.: Parallel searching in the plane. Comput. Geom. 5, 143–154 (1995)

    Article  MathSciNet  MATH  Google Scholar 

  10. Bar-Yehuda, R., Goldreich, O., Itai, A.: On the time-complexity of broadcast in multi-hop radio networks: an exponential gap between determinism and randomization. J. Comput. Syst. Sci. 45(1), 104–126 (1992)

    Article  MathSciNet  MATH  Google Scholar 

  11. Bärtschi, A., Chalopin, J., Das, S., Disser, Y., Geissmann, B., Graf, D., Labourel, A., Mihalák, M.: Collaborative delivery with energy-constrained mobile robots. In: Suomela, J. (ed.) SIROCCO 2016. LNCS, vol. 9988, pp. 258–274. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-48314-6_17

    Chapter  Google Scholar 

  12. Bärtschi, A., Chalopin, J., Das, S., Disser, Y., Graf, D., Hackfeld, J., Penna, P.: Energy-efficient delivery by heterogeneous mobile agents. In: Proceedings of STACS, pp. 10:1–10:14 (2017)

    Google Scholar 

  13. Chalopin, J., Jacob, R., Mihalák, M., Widmayer, P.: Data delivery by energy-constrained mobile agents on a line. In: Esparza, J., Fraigniaud, P., Husfeldt, T., Koutsoupias, E. (eds.) ICALP 2014. LNCS, vol. 8573, pp. 423–434. Springer, Heidelberg (2014). https://doi.org/10.1007/978-3-662-43951-7_36

    Google Scholar 

  14. Czyzowicz, J., Diks, K., Moussi, J., Rytter, W.: Communication problems for mobile agents exchanging energy. In: Suomela, J. (ed.) SIROCCO 2016. LNCS, vol. 9988, pp. 275–288. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-48314-6_18

    Chapter  Google Scholar 

  15. Das, S., Dereniowski, D., Karousatou, C.: Collaborative exploration by energy-constrained mobile robots. In: Scheideler, C. (ed.) Structural Information and Communication Complexity. LNCS, vol. 9439, pp. 357–369. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-25258-2_25

    Chapter  Google Scholar 

  16. Dynia, M., Korzeniowski, M., Schindelhauer, C.: Power-aware collective tree exploration. In: Grass, W., Sick, B., Waldschmidt, K. (eds.) ARCS 2006. LNCS, vol. 3894, pp. 341–351. Springer, Heidelberg (2006). https://doi.org/10.1007/11682127_24

    Chapter  Google Scholar 

  17. Fraigniaud, P., Gasieniec, L., Kowalski, D.R., Pelc, A.: Collective tree exploration. In: Farach-Colton, M. (ed.) LATIN 2004. LNCS, vol. 2976, pp. 141–151. Springer, Heidelberg (2004). https://doi.org/10.1007/978-3-540-24698-5_18

    Chapter  Google Scholar 

  18. Irani, S., Shukla, S.K., Gupta, R.: Algorithms for power savings. ACM Trans. Algorithms 3(4), 41 (2007)

    Article  MathSciNet  MATH  Google Scholar 

  19. Toth, P., Vigo, D.: Vehicle routing: problems, methods, and applications. SIAM (2014)

    Google Scholar 

  20. Yao, F.F., Demers, A.J., Shenker, S.: A scheduling model for reduced CPU energy. In: Proceedings of 36th FOCS, pp. 374–382 (1995)

    Google Scholar 

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Correspondence to Jerzy Czyzowicz .

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Czyzowicz, J., Diks, K., Moussi, J., Rytter, W. (2017). Energy-Optimal Broadcast in a Tree with Mobile Agents. In: Fernández Anta, A., Jurdzinski, T., Mosteiro, M., Zhang, Y. (eds) Algorithms for Sensor Systems. ALGOSENSORS 2017. Lecture Notes in Computer Science(), vol 10718. Springer, Cham. https://doi.org/10.1007/978-3-319-72751-6_8

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  • DOI: https://doi.org/10.1007/978-3-319-72751-6_8

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