Abstract
In this paper, we present transmission power control algorithms, based on soft computing techniques, for reducing the energy consumption in wireless sensor network, without affecting its throughput. Two algorithms are designed, one using Artificial Neural Network (ANN) and the other using Fuzzy Logic Control (FLC). The algorithms show marked improvement in performance when compared to the conventional Medium Access Control protocol standard IEEE 802.15.4. We also show the effects of optimizing the proposed methods further using Genetic Algorithm
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References
Karl, H., Willig, A.: Protocols and Architectures for Wireless Sensor Networks, 1st edn. Wiley, Europe (2007)
Pottie, G., Kaiser, W.: Wireless Integrated Network Sensors. Communications of the ACM 43(5), 51–58 (2000)
Correia, H., Macedo, F., Santos, L., Loureiro, A., Nogueira, S.: Transmission Power Control Techniques for Wireless Sensor Networks. Computer Networks Journal 51, 4765–4779 (2007)
Xia, F., Zhao, W., Sun, Y., Tian, Y.: Fuzzy Logic Control Based QoS Management in Wireless Sensor/Actuator Networks. Sensors 2007 7(12), 3179–3191 (2007)
Gupta, I., Riordan, D., Sampalli, S.: Cluster-head election using fuzzy logic for wireless sensor networks. In: Proceedings of the 3rd Annual IEEE conference on Communication Networks and Services Research, pp. 255–260 (2005)
Wei, J., Fan, B., Sun, Y.: A congestion control scheme based on fuzzy logic for wireless sensor networks. In: Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp. 501–504 (2012)
Jin, S., Fu, J., Xu, L.: The transmission power control method for wireless sensor networks based on LQI and RSSI. In: Xiao, T., Zhang, L., Fei, M. (eds.) AsiaSim 2012, Part II. CCIS, vol. 324, pp. 37–44. Springer, Heidelberg (2012)
Sabitha, R., Thyagarajan, T.: Fuzzy logic-based transmission power control algorithm for energy efficient MAC protocol in wireless sensor networks. International Journal of Communication Networks and Distributed Systems (IJCNDS) 9(3/4), 247–265 (2012)
Fu, Y., Sha, M., Hackmann, G., Lu, C.: Practical Control of Transmission Power for Wireless Sensor Networks. In: IEEE International Conference on Network Protocols – ICNP 2012 (2012)
Ping, J., Kun, S., Hsieh, Y., Cheng, Y.: Distributed Trasmission Power Control Algorithm for Wireless Sensor Networks. Journal of Information Science and Engineering 25, 1447–1463 (2009)
Oldewurtel, F., Mahonen, P.: Neural Wireless Sensor Networks. In: Procs. of the Intl Conference on Systems and Networks Communication, ICSNC 2006 (2006)
Enami, N., Moghadam, R., Dadashtabar, K., Hoseini, M.: Neural Network Based Energy Efficiency In Wireless Sensor Networks A Survey. International Journal of Computer Science & Engineering Survey (IJCSES) 1(1), 39–55 (2010)
Azimi, M., Ramezanpor, M.: A Robust Algorithm For Management of Energy Consumption In Wireless Sensor Networks Using Som Neural Networks. Journal of Academic and Applied Studies 2(3), 1–14 (2012)
Kulakov, A., Davcev, D., Trajkovski, G.: Implementing Artificial Neural-Networks in Wireless Sensor Networks. In: Proceedings of the IEEE Symposium on Advances in Wired and Wireless Communication, pp. 94–97 (2005)
Masood, M., Khan, A.: A Kalman filter based adaptive on demand transmission power control (AODTPC) algorithm for wireless sensor networks. In: Proceedings of the International Conference on Emerging Technologies (ICET), pp. 1–6 (2012)
IEEE 802.15.4. IEEE Standard for Local and Metropolitan Area Network - Low Rate Wireless Personal Area Networks (LRWPAN). IEEE Standards Association (2011)
Rappaport, T.: Wireless Communication Principles And Practices, 2nd edn. Pearson Education Inc., India (2002)
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Sabitha, R., Bhuma, K.T., Thyagarajan, T. (2015). Design and Analysis of Fuzzy Logic and Neural Network Based Transmission Power Control Techniques for Energy Efficient Wireless Sensor Networks. In: Satapathy, S., Biswal, B., Udgata, S., Mandal, J. (eds) Proceedings of the 3rd International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA) 2014. Advances in Intelligent Systems and Computing, vol 327. Springer, Cham. https://doi.org/10.1007/978-3-319-11933-5_32
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DOI: https://doi.org/10.1007/978-3-319-11933-5_32
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-11932-8
Online ISBN: 978-3-319-11933-5
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