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Volumn , Issue , 2006, Pages 637-645

Fuzzy reinforcement learning for routing in wireless sensor networks

Author keywords

Multiagent systems; Q learning; Reinforcement learning; Wireless sensor networks

Indexed keywords


EID: 44349091410     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/3-540-34783-6_61     Document Type: Chapter
Times cited : (3)

References (14)
  • 6
    • 0000719863 scopus 로고
    • Packet routing in dynamically changing networks: A reinforcement learning approach
    • Boyan J. A., Littman M. L.: Packet Routing in Dynamically Changing Networks: A Reinforcement Learning Approach, Advances in Neural Information Processing Systems, 6, 1993, pp. 671-678
    • (1993) Advances in Neural Information Processing Systems , vol.6 , pp. 671-678
    • Boyan, J.A.1    Littman, M.L.2
  • 7
    • 0012735531 scopus 로고    scopus 로고
    • Confidence based dual reinforcement Q-routing: An on-line adaptive network routing algorithm
    • May 1998, Artificial Intelligence Laboratory, The University of Texas at Austin, Austin, TX 78712
    • Kumar Sh.: Confidence Based Dual Reinforcement Q-Routing: an On-line Adaptive Network Routing Algorithm, Report AI98-267, May 1998, Artificial Intelligence Laboratory, The University of Texas at Austin, Austin, TX 78712 [http://www.cs.utexas.edu/users/skumar/]
    • Report AI98-267
    • Kumar, Sh.1
  • 9
    • 0028497630 scopus 로고
    • Asynchronous stochastic approximation and Q-learning
    • Tsitsiklis J.: Asynchronous Stochastic Approximation and Q-Learning, Machine Learning, 16, 1994, pp. 185-202
    • (1994) Machine Learning , vol.16 , pp. 185-202
    • Tsitsiklis, J.1
  • 11
    • 0029277469 scopus 로고
    • A sensor-based navigation for a mobile robot using fuzzy-logic and reinforcement learning
    • Beon H. R., Cho H. S.: A Sensor-Based Navigation for a Mobile Robot Using Fuzzy-Logic and Reinforcement Learning, IEEE Trans. on Systems, Man, and Cybernetics, Vol. 25, No. 3, 1995, pp. 467-477
    • (1995) IEEE Trans. on Systems, Man, and Cybernetics , vol.25 , Issue.3 , pp. 467-477
    • Beon, H.R.1    Cho, H.S.2
  • 12
    • 0033685787 scopus 로고    scopus 로고
    • Advantages of cooperation between reinforcement learning agent in difficult stochastic problems
    • San Antonio, TX
    • Berenji H. R., Vengerov D.: Advantages of Cooperation Between Reinforcement Learning Agent in Difficult Stochastic Problems, In: Proceedings IEEE International Conference Fuzzy Systems, San Antonio, TX 2000
    • (2000) Proceedings IEEE International Conference Fuzzy Systems
    • Berenji, H.R.1    Vengerov, D.2
  • 14
    • 85031307530 scopus 로고
    • Highly dynamic destination-sequenced distance-vector routing for mobile computers
    • Perkins C., Bhagwat P.: Highly Dynamic Destination-Sequenced Distance-Vector Routing for Mobile Computers, In: Proceedings of the ACM SIGCOMM, 1994, pp. 234-244
    • (1994) Proceedings of the ACM SIGCOMM , pp. 234-244
    • Perkins, C.1    Bhagwat, P.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.