Skip to main content

Mobile Agents and Exploration

  • Reference work entry
  • First Online:
Encyclopedia of Algorithms

Years and Authors of Summarized Original Work

  • 1952; Shannon

Problem Definition

How can a network be explored efficiently with the help of mobile agents? This is a very broad question and to answer it adequately it will be necessary to understand more precisely what mobile agents are, what kind of networked environment they need to probe, and what complexity measures are interesting to analyze.

Mobile Agents

Mobile agents are autonomous, intelligent computer software that can move within a network. They are modeled as automata with limited memory and computation capability and are usually employed by another entity (to which they must report their findings) for the purpose of collecting information. The actions executed by the mobile agents can be discrete or continuous and transitions from one state to the next can be either deterministic or non-deterministic, thus giving rise to various natural complexity measures depending on the assumptions being considered.

Network Model

The...

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 1,599.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 1,999.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Recommended Reading

  1. Albers S, Henzinger MR (2000) Exploring unknown environments. SIAM J Comput 29:1164–1188

    Article  MathSciNet  MATH  Google Scholar 

  2. Alpern S, Gal S (2003) The theory of search games and rendezvous. Kluwer, Norwell

    MATH  Google Scholar 

  3. Bar-Eli E, Berman P, Fiat A, Yan R (1994) On-line navigation in a room. J Algorithms 17:319–341

    Article  MathSciNet  MATH  Google Scholar 

  4. Bender MA, Fernandez A, Ron D, Sahai A, Vadhan S (1998) The power of a pebble: exploring and mapping directed graphs. In: Proceedings of the 30th annual symposium on theory of computing, Dallas, 23–26 May 1998, pp 269–278

    Google Scholar 

  5. Blum A, Raghavan P, Schieber B (1997) Navigating in unfamiliar geometric terrain. SIAM J Comput 26:110–137

    Article  MathSciNet  MATH  Google Scholar 

  6. De Marco G, Gargano L, Kranakis E, Krizanc D, Pelc A, Vaccaro U (2006) Asynchronous deterministic rendezvous in graphs. Theor Comput Sci 355:315–326

    Article  MathSciNet  MATH  Google Scholar 

  7. Deng X, Kameda T, Papadimitriou CH (1998) How to learn an unknown environment I: the rectilinear case. J ACM 45:215–245

    Article  MathSciNet  MATH  Google Scholar 

  8. Deng X, Papadimitriou CH (1999) Exploring an unknown graph. J Graph Theory 32:265–297

    Article  MathSciNet  MATH  Google Scholar 

  9. Diks K, Fraigniaud P, Kranakis E, Pelc A (2004) Tree exploration with little memory. J Algorithms 51:38–63

    Article  MathSciNet  MATH  Google Scholar 

  10. Flocchini P, Kranakis E, Krizanc D, Santoro N, Sawchuk C (2004) Multiple mobile agent rendezvous in the ring. In: Proceedings of the LATIN 2004, Bueons Aires, 5–8 Apr 2004. LNCS, vol 2976, pp 599–608

    Google Scholar 

  11. Fraigniaud P, Ilcinkas D, Peer G, Pelc A, Peleg D (2005) Graph exploration by a finite automaton. Theor Comput Sci 345:331–344

    Article  MathSciNet  MATH  Google Scholar 

  12. Kranakis E, Singh H, Urrutia J (1999) Compass routing in geometric graphs. In: Proceedings of the 11th Canadian conference on computational geometry (CCCG-99), Vancouver, 15–18 Aug 1999, pp 51–54

    Google Scholar 

  13. Kranakis E, Krizanc D, Santoro N, Sawchuk C (2003) Mobile agent rendezvous search problem in the ring. In: Proceedings of the international conference on distributed computing systems (ICDCS), Providence, 19–22 May 2003, pp 592–599

    Google Scholar 

  14. Kranakis E, Krizanc D, Markou E (2006) Mobile agent rendezvous in a synchronous torus. In: Correa J, Hevia A, Kiwi M (eds) Proceedings of LATIN 2006, 7th Latin American symposium, Valdivia, 20–24 March 2006. SVLNCS, vol 3887, pp 653–664

    Google Scholar 

  15. Panaite P, Pelc A (1999) Exploring unknown undirected graphs. J Algorithms 33:281–295

    Article  MathSciNet  MATH  Google Scholar 

  16. Sawchuk C (2004) Mobile agent rendezvous in the ring. PhD thesis, Carleton University, Ottawa

    Google Scholar 

  17. Shannon C (1951) Presentation of a maze solving machine, in cybernetics, circular, causal and feedback machines in biological and social systems. In: von Feerster H, Mead M, Teuber HL (eds) Trans. 8th Conf, New York, March 15–16, 1951, pp 169–181. Josiah Mary Jr. Foundation, New York (1952)

    Google Scholar 

  18. Weiss G (ed) (1999) Multiagent systems: a modern approach to distributed artificial intelligence. MIT, Cambridge, MA

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer Science+Business Media New York

About this entry

Cite this entry

Kranakis, E., Krizanc, D. (2016). Mobile Agents and Exploration. In: Kao, MY. (eds) Encyclopedia of Algorithms. Springer, New York, NY. https://doi.org/10.1007/978-1-4939-2864-4_242

Download citation

Publish with us

Policies and ethics