PLAER: Penalty Base Learning Automata for Energy Aware Routing in WSN
Subject Areas : electrical and computer engineering
M. Parvizi Omran
1
*
,
A. Moeni
2
,
H. Haj Seyyed Javadi
3
1 - University of Tehran
2 - University of Tehran
3 -
Keywords: Learning automata wireless sensor networks power consumption reduction energy aware routing,
Abstract :
Sensors in WSN work with batteries that have limited energy capacity. Therefore, reduction in power consumption is a very important issue. In this paper, we present a new routing algorithm to reduce power consumption in wireless sensor networks. This algorithm deploys Learning automata in each node to find a suitable path for routing data packets. In order to aim this goal the algorithm uses penalty based approach in learning automata and considers energy level of nodes and latency of packet delivery as well. Performance of our new developed algorithm has been compared with LABER and BEAR protocols in OMNET++ simulator. Simulation results show that, in a network with static nodes, energy consumption and control packets reduce significantly and network lifetime increases in comparison with two other protocols.
[1] J. Yick, B. Mukherjee, and D. Ghosal, "Wireless sensor network survey," Computer Networks, vol. 52, no. 12, pp. 2292-2330, Apr. 2008.
[2] G. Anastasi, M. Conti, M. Di Francesco, and A. Passarella, "Energy conservation in wireless sensor networks: a survey," Ad Hoc Networks, vol. 7, no. 3, pp. 537-568, May 2009.
[3] K. S. Narendra and M. A. L. Thathachar, "Learning automata - a survey," Systems, Man and Cybernetics, IEEE Trans. on, vol. 4, no. 4, pp. 323-334, Jul. 1974.
[4] M. Ankit, M. Arpit, T. J Deepak, R. Venkateswarlu, and D. Janakiram, "TinyLap: a scalable learning automata-based energy aware routing protocol for sensor networks," Communicated to IEEE Wireless and Communications and Networking Conf., Las Vegas, NV, USA. 2006.
[5] S. M. Abolhasani, M. R. Meybodi, and M. Esnaashari, "LABER: a learning automata based energy - aware routing protocol for sensor networks," in Proc. of the Third Information and Knowledge Technology, IKT'07, 9 pp., Mashad, Iran, 27-29 Nov. 2007.
[6] A. H. Fathy Navid and H. Haj Seyed Javadi, "ICLEAR: energy aware routing protocol for WSN using irregular cellular learning automata," in Proc. IEEE Symp. on Industrial Electronics and Applications, ISIEA'09, vol. 1, pp. 463-468, 4-6 Oct. 2009.
[7] E. Ahvar and M. Fathy, "BEAR: a balanced energy - aware routing protocol for wireless sensor networks," Wireless Sensor Network, vol. 2, no. 10, pp. 793-800, 2010.
[8] J. A. Torkestani, "Backbone formation in wireless sensor networks," Sensors and Actuators A: Physical, vol. 185, pp. 117-126, Oct. 2012.
[9] M. A. L. Thathachar and P. S. Sastry, "Varieties of learning automata: an overview," Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Trans. on, vol. 32, no. 6, pp. 711-722, 2002.
[10] A. Varga, "The OMNeT++ discrete event simulation system," in Proc. of the European Simulation Multiconference, ESM'01, pp. 319-324, Prague, Czech Republic, Jun. 2001.
[11] L. F. W. van Hoesel and P. Havinga, "A lightweight medium access protocol (LMAC) for wireless sensor networks: reducing preamble transmissions and transceiver state switches," 2004.