A Survey on Application of Neural Networks in Energy Conservation of Wireless Sensor Networks

Communications in Computer and Information Science

Volumn 84, Issue , 2010, Pages 283-294

  Enami, Neda ^a   Moghadam, Reza Askari ^a   Haghighat, Abolfazl ^a  

^a PAYAME NOOR UNIVERSITY   (Iran)

Author keywords

Energy Conservation; Neural Networks; Wireless Sensor Networks

Indexed keywords

COMMUNICATION COST; DIMENSIONALITY REDUCTION; DISTRIBUTED STORAGE; DYNAMIC POWER MANAGEMENT; PARALLEL DISTRIBUTED COMPUTATIONS; RESEARCH STUDIES; SENSOR READINGS; SOURCE OF ENERGY;

DIGITAL STORAGE; DISTRIBUTED COMPUTER SYSTEMS; ENERGY CONSERVATION; ENERGY UTILIZATION; SENSOR NODES; SENSORS; WIRELESS SENSOR NETWORKS;

NEURAL NETWORKS;

EID: 84865698981     PISSN: 18650929     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-14171-3_24     Document Type: Conference Paper

References (35)

1. Anastasi, G., Conti, M., Francesco, D.M., Passarella, A.: Energy Conservation in Wireless Sensor Networks: a Survey. Ad Hoc Networks 7(3), 537-568 (2009)
2. Shwe, H.Y., Xiao-hong, J., Horiguchi, S.: Energy Saving in Wireless Sensor Network. Journal of Communication and Computer 6(5), 20-28 (2009)
3. Kulakov, A., Davcev, D., Trajkovski, G.: Application of wavelet neural-networks in wireless sensor networks. In: Sixth International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing and First ACIS International Workshop on Self-Assembling Wireless Networks (SNPD/SAWN 2005), pp. 262-267 (2005)
4. Shen, Y., Guo, B.: Dynamic Power Management based on Wavelet Neural Network in Wireless Sensor Network. In: IEEE IFIP International Conference on Network and Parallel Computing Workshops, pp. 431-436 (2007)
5. Shen, Y., Guo, B.: Wavelet Neural Network Approach for Dynamic Power Management in Wireless Sensor Networks. In: 2008 International Conference on Embedded Software and Systems (ICESS 2008), pp. 376-381 (2008)
6. Shahbazi, H., Araghizadeh, M.A., Dalvi, M.: Minimum Power Intelligent Routing In Wireless Sensors Networks Using Self Organizing Neural Networks. In: IEEE International Symposium on Telecommunications, pp. 354-358 (2008)
7. Dehni, L., Krief, F., Bennani, Y.: Power Control and Clustering in Wireless Sensor Networks. In: Challenges in Ad Hoc Networking, pp. 31-40 (2006)
8. Heinzelman, W.H., Chandrakasan, A., Balakrishnan, H.: Energy-Efficient Communication Protocol for wireless Sensor Networks. In: IEEE Proceeding of 33rd Hawaii International Conference on System Sciences, pp. 1-10 (2000)
9. Heinzelman, W.H., Chandrakasan, A., Balakrishnan, H.: An Application-Specific Protocol Architecture for Wireless Microsensor Networks. IEEE Transactions on Wireless Communications 1(4), 660-670 (2002)
10. Ye, M., Li, C., Chen, G., Wu, J.: EECS: An Energy Efficient Clustering Scheme in Wireless Sensor Networks. In: Proceedings of IEEE Int'l. Performance Computing and Communications Conference (IPCCC), pp. 535-540 (2005)
11. Park, I., Takeshi, M.: Energy Reduction in Wireless Sensor Networks through Measurement Estimation with Second Order Recurrent Neural Networks. In: IEEE Third International Conference on Networking and Services (ICNS) (2007)
12. Smith, D., Singh, S.: Approaches to Multisensor Data Fusion in Target Tracking: A Survey. IEEE Transactions on Knowledge and Data Engineering 18(12) (2006)
13. Xue, W., Sheng, W., Ma, J.J., Bi, D.W.: Energy-efficient Organization of Wireless Sensor Networks with Adaptive Forecasting. In: Sensors 2008, vol. 8, pp. 2604-2616 (2008)
14. Mohamed, W.K., Mirza, O., Kawtharani, J.: BARC:A Battery Aware Reliable Clustering algorithm for sensor networks. Journal of Network and Compute Applications 32(6), 1183-1193 (2009)
15. Mei, L., Haihao, L., Shen, Y., Fan, J., Huang, S.H.: Elastic neural network method for multi-target tracking task allocation in wireless sensor network. Computers and Mathematics with Applications 57(11/12), 1822-1828 (2009)
16. Yun, S.U., Youk, Y.S., Kim, S.H.: Study on Applicability of Self-Organizing Maps to Sensor Network. In: International Symposium on Advanced Intelligent Systems, Sokcho, Korea (2007)
17. Catterall, E., Laerhoven, K.V., Strohbach, M.: Self-Organization in Ad Hoc Sensor Networks: An Empirical Study on Arterial Life. In: Proceedings of eighth international conference on Artificial life, pp. 260-263 (2002)
18. Feng, X., Xu, Z.H.: A Neural Data Fusion Algorithm for Wireless Sensor Networks. In: Pacific-Asia Conference on Circuits, Communications and Systems, pp. 54-57 (2009)
19. Shen, Y.J., Wang, M.-S.: Broadcast scheduling in wireless sensor networks using fuzzy Hopfield neural network. Expert Systems with Applications: An international Journal 34(2), 900-907 (2008)
20. Pacific, F., Emery, W.J., Frate, F.D.: Neural Networks for Data Fusion. In: IEEE Data Fusion Technical Committee, Remote Sensing Data Fusion Contest (2007)
21. Al-Karaki, J.N.: Kamal. A. E.: Routing techniques in wireless sensor networks: a survey. IEEE Wireless Communications 11(6), 6-28 (2004)
22. Yick, J., Mukherjee, B., Ghosal, D.: Wireless sensor network survey. Computer Networks: The International Journal of Computer and Telecommunications Networking 52(12), 2292-2330 (2008)
23. Kulkarni, R.V., Forster, A., Venayagamoorthy, G.K.: Computational Intelligence in Wireless Sensor Networks: A Survey. IEEE Communications Surveys and Tutorials 13(1) (2009)
24. Demirkol, I., Ersoy, C., Alagoz, F.: MAC Protocols for wireless Sensor Networks: a Survey. IEEE Communications Magazine 44(4), 115-121 (2006)
25. th Annual IEEE International Conference on Local Computer Networks (LCN 2004), pp. 567-568 (2004)
26. Winter, M., Favier, G.: A Neural Network for Data Association. In: Proc. IEEE Int'l. Conf. Acoustics, Speech, and Signal Processing, vol. 2, pp. 1041-1044 (1999)
27. Moody, J., Darken, C.: Fast Learning in Networks of Locally Tuned Processing Units. Neural Computation 1, 281-294 (1989)
28. Ash, T.: Dynamic Node Creation in Backpropagation Networks. Technical Report, Inst. for Cognitive Science, Univ. of California, San Diego (1989)
29. Ghosh, J., Holmberg, R.L.: Multisensor Fusion Using Neural Networks. In: Proc. Second IEEE Symp. Parallel and Distributed Processing (1990)
30. DeAngelis, C.M., Whitney, J.E.: The Neurally Inspired Contact Estimator (NICE) In: Proc. IEEE Oceanic Eng. Soc. Conf., vol. 3, pp. 1619-1623 (1998)
31. Abdel-Aty-Zohdy, H.S., Ewing, R.L.: Intelligent Information Processing Using Neural Networks and Genetic Algorithms. In: Proc. 43rd Midwest Symp. Circuits and Systems, August 2000, pp. 840-845 (2000)
32. Kittler, J.: Multi-Sensor Integration and Decision Level Fusion. In: Proc. DERA/IEE Workshop Intelligent Sensor Processing (Ref. No.2001/050), pp. 61-66 (2001)
33. Chung, Y.N., Chong, C.Y., Bar-Shalom, Y.: Joint Probabilistic data and association Distributed sensor Networks. IEEE Trans. Automa. Contr. AC-31, 889-897 (1986)
34. Sengupta, D., Iltis, R.A.: Neural solution to Multitarget Tracking Data Association Problem. IEEE Trans. Aerosp. Electron. Syst. 25, 86-108 (1989)
35. Salcedo-Sanz, S., Yao, X.: A hybrid Hopfield network-Genetic algorithm approach for the terminal assignment problem. IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics 34(6), 2343-2353 (2004)