Abstract
Energy-level performance of Incremental Redundancy (IR)-based Hybrid Automatic Repeat reQuest (HARQ) scheme using punctured convolution code is evaluated for randomly deployed wireless sensor network (WSN) in the presence of multipath Rician fading. Transmission based on HARQ and optimal power are two different promising approaches for reducing energy consumption in an energy constrained WSN. Optimal transmit power is the minimum power required to sustain the network connectivity while maintaining a predefined maximum tolerable BER threshold in a multihop route. In the present work, energy-level performance of HARQ scheme is compared with that of optimal transmit power-based coded and uncoded schemes for a random WSN. Further, energy consumption for an arbitrary fixed power-based coded scheme is also compared. In a random network, an intermediate node in the route selects the nearest node within a sector of angle (θ) toward the direction of the destination as the next hop. Effects of fading, node density, and search angle on selection of optimum power, energy consumption of optimum power-based scheme, and IR scheme are investigated. Effects of code rate and bit rate on energy consumption, route BER, and optimum power selection in case of optimum power-based coded scheme are indicated.
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References
Akyildiz, I.F., Weilian, S., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40(8), 102–114 (2002)
Nandi, A., Kundu, S.: Energy level performance of error control schemes in wireless sensor networks. IEEE International Conference on Devices and Communications (ICDeCom 2011), pp. 1–5, 2011
Davarian, F.: Fade margin calculation for channels impaired by Rician fading. IEEE Trans. Veh. Technol. 34(1), 41–44 (1985)
Sankarasubramaniam Y., Akyildiz I.F,. Mclaughlin S.W.: Energy efficiency based packet size optimization in wireless sensor networks. Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications 2003, pp. 1–8, 2003
Panichpapiboon, S., Ferrari, G., Tonguz, O.K.: Optimal Transmit Power in Wireless Sensor Networks. IEEE Trans. Mob. Comput. 5(10), 1432–1447 (2006)
Agarwal, S., Katz, R., Krishnamurthy, S.V., Dao, S.K.: Distributed Power Control in Ad Hoc Wireless Networks. Proceedings of the IEEE international symposium personal, indoor, and mobile radio communication (PIMRC), pp. F59–F66, 2001
Nandi, A., Kundu, S.: Energy level performance of retransmission schemes in wireless sensor networks over rayleigh fading channel. Proceedings of the IEEE international conference on computational intelligence and communication networks (CICN 2010), pp. 220–225, 2010
Nandi, A., Kundu, S.: Evaluation of optimal transmit power in wireless sensor networks in presence of rayleigh fading. ICTACT J Commun Technol 1(2), 107–112 (2010)
Cruz, R.L., Santhanam, A.V.: Optimal routing, link scheduling and power control in multi-hop wireless networks. Proc. IEEE Conf. Computer Comm. 1, 702–711 (2003)
Nandi, A., Kundu, S.: Energy level performance of packet delivery schemes in wireless sensor networks in shadowed channel. Sens. Transducers J. 118(7), 73–86 (2010)
Narayanaswamy, S., Kawadia, V., Sreenivas, R.S., Kumar, P.R.: Power control in ad hoc networks: theory, architecture, algorithm and implementation of the COMPOW protocol. Proceedings of the European wireless next generation wireless networks: technologies, protocols, services, and applications, pp. 156–162, 2002
Stanojev, I., Simeone, O., Bar-Ness, Y., Kim, D.H.: IEEE Trans. Wireless Commun. 8(1), 326–335 (2009)
Rossi, M., Zanca, G., Stabellini, L., Crepaldi, R., Harris, A.F., Zorzi, M.: Synapse: A network reprogramming protocol for wireless sensor networks using fountain codes, 5th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks, pp. 188–196, 2008
Sesia, S., Caire, G., Vivier, G.: Incremental redundancy hybrid arq schemes based on low-density parity-check codes. IEEE Trans. Commun. 52(8), 1311–1321 (2004)
Nosratinia, A., Hunter, T., Hedayat, A.: Cooperative communication in wireless networks. IEEE Commun. Mag. 42(10), 68–73 (2004)
Hunter, T., Nosratinia, A.: Diversity through coded cooperation. IEEE Trans. Commun. 5, 283–289 (2006)
Nandi, A., Kundu, S.: Optimal transmit power and packet size in wireless sensor networks in shadowed channel. Int. J. Sens. Networks 11(2), 81–89 (2012)
Ferrari, G., Tonguz, O.K.: Performance of ad hoc wireless networks with aloha and PR-CSMA MAC protocols, Proceedings of the IEEE Global Telecommunication Conference (GLOBECOM), pp. 2824–2829, Dec 2003
Goldsmith, A.: Wireless communications. Cambridge University Press, Cambridge (2005)
Sklar, B.: Rayleigh fading channels in mobile digital communication systems Part I: characterization. IEEE Communication Magazine, pp. 90–100, July 2003
Shih E., Cho, S.-H., Ickes, N., Min, R., Sinha, A., Wang, A., Chandrakasan, A.: Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. In Proceedings of the 7th annual international conference on mobile computing and networking (MobiCom ‘01), 2001
Intel® StrongARM® SA-1110 Microprocessor Developer’s Manual, Intel Corporation, http://www.intel.com, 1999
Forney, G.D.: The Viterbi algorithm. Proc. IEEE 61(3), 268–278 (1973)
Heller, J.A., Jacobs, I.M.: Viterbi decoding for satellite and space communication. IEEE Trans. Commun. Technol. 19(5), 835–848 (1971)
Yasuda, Y., Kashiki, K., Hirata, Y.: High rate punctured convolutional codes for soft decision Viterbi decoding. IEEE Trans. Commun. 32(3), 315–319 (1984)
Haccoun, D., Begin, G.: High-rate punctured convolutional codes for Viterbi and sequential decoding. IEEE Trans. Commun. 37(11), 1113–1125 (1989)
Kleinschmidt, J.H., Borelli, W.C., Pellenz, M.E, An analytical model for energy efficiency of error control schemes in sensor networks. ICC ‘07. IEEE International Conference on Communications 2007, pp. 3895–3900, 2007
Nandi, A., Kundu, S.: Energy efficient packet data service in wireless sensor network in presence of raylrigh fading. Int. J. Grid High Perform. Comput. (IJGHPC) 3(3), 31–44 (2011). doi:10.4018/jghpc.2011070103
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Chatterjee, M., Nandi, A., Basu, B. (2015). Performance of Incremental Redundancy-Based Data Transmission in Randomly Deployed Wireless Sensor Network. In: Chaki, R., Saeed, K., Choudhury, S., Chaki, N. (eds) Applied Computation and Security Systems. Advances in Intelligent Systems and Computing, vol 304. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1985-9_12
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