Abstract
The current specification for IEEE 802.15.4 beacon-enabled networks does not define how active and sleep schedules should be configured in order to achieve the optimal network performance in all traffic conditions. Several algorithms exist in the literature that dynamically vary these schedules based on traffic load estimations. But it is still uncertain how these adaptive schemes perform with regard to each other as their performance has only been compared with the standard beacon mode. In this paper, we compare the current state-of-the-art schemes, and with the objective of overcoming the performance deficiencies shown by previous approaches, we introduce DCLA, an adaptive duty-cycle scheme for IEEE 802.15.4 beacon-enabled Wireless Sensor Networks (WSN) that employs a reinforcement learning technique. Simulation results show that the proposed scheme achieves the best overall network performance for a wide range of traffic conditions and performance parameters when compared with existing IEEE 802.15.4 duty-cycle adaptation schemes.
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References
IEEE 802.15.4 Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications for Low-Rate Wireless Personal Area Networks, LR-WPANs (2007)
Neugebauer, M., Plonnigs, J., Kabitzsch, K.: A new beacon order adaptation algorithm for IEEE 802.15.4 networks. In: Proceedings of the Second European Workshop on Wireless Sensor Networks, pp. 302–311 (2005)
Gao, B., He, C.: An individual beacon order adaptation algorithm for IEEE 802.15.4 networks. In: Proceedings of the 11th IEEE Singapore International Conference on Communication Systems, pp. 12–16 (November 2008)
Barbieri, A., Chiti, F., Fantacci, R.: Proposal of an Adaptive MAC Protocol for Efficient IEEE 802.15.4 Low Power Communications. In: Proceedings of the IEEE Global Telecommunications Conference, pp. 1–5 (December 2006)
Jeon, J., Lee, J.W., Ha, J.Y., Kwon, W.H.: DCA: Duty-Cycle Adaptation Algorithm for IEEE 802.15.4 Beacon-Enabled Networks. In: Proceedings of the 65th IEEE Vehicular Technology Conference, pp: 110–113 (April 2007)
Di, M., Joo, E.M.: A survey of machine learning in wireless sensor networks. In: Proceedings of the 6th International Conference on Information, Communications and Signal Processing (ICICS), pp: 1–5 (2007)
Liu, Z., Elahanany, I.: RL-MAC: A reinforcement learning based MAC protocol for wireless sensor networks. International Journal on Sensor Networks, 117–124 (2006)
Ye, W., Heidemann, J., Estrin, D.: Medium access control with coordinated adaptive sleeping for wireless sensor networks. IEEE/ACM Transactions on Networks 12(3), 493–506
Polastre, J., Hill, J., Culler, D.: Versatile low power media access for wireless sensor networks. In: Proceedings of the Second ACM Conference on Embedded Networked Sensor Systems (SenSys), Baltimore, MD (November 2004)
Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction. MIT Press, Cambridge (1998)
Jurčík, P., Koubâa, A.: The IEEE 802.15.4 OPNET simulation model: reference guide v2.0. IPP-HURRAY Technical Report, HURRAY-TR-070509 (May 2007)
OPNET Modeler, OPNET Technologies Inc. Version 15.0., http://www.opnet.com
CC2420 radiochip datasheet: 2.4Ghz IEEE 802.15.4 Zigbee Ready RF Transceiver. Texas Instruments, http://www.ti.com
Low Power 2.4Ghz MicaZ mote for Wireless Sensor Networks, http://xbow.com
Muthukumaran, P.S., de Paz, R., Špinar, R., Pesch, D.: MeshMAC: Enabling Mesh Networking over IEEE802.15.4 through distributed beacon scheduling. In: Zheng, J., et al. (eds.) ADHOCNETS 2009. LNICST, vol. 28, pp. 561–575 (2010)
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© 2010 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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de Paz, R., Pesch, D. (2010). DCLA: A Duty-Cycle Learning Algorithm for IEEE 802.15.4 Beacon-Enabled WSNs. In: Zheng, J., Simplot-Ryl, D., Leung, V.C.M. (eds) Ad Hoc Networks. ADHOCNETS 2010. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 49. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17994-5_15
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DOI: https://doi.org/10.1007/978-3-642-17994-5_15
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