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An Energy-Efficient Adaptive Modulation Suitable for Wireless Sensor Networks with SER and Throughput Constraints

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Abstract

We consider the problem of minimizing transmission energy in wireless sensor networks by taking into account that every sensor may require a different bit rate and reliability according to its particular application. We propose a cross-layer approach to tackle such a minimization in centralized networks for the total transmission energy consumption of the network: in the physical layer, for each sensor the sink estimates the channel gain and adaptively selects a modulation scheme; in the MAC layer, each sensor is correspondingly assigned a number of time slots. The modulation level and the number of allocated time slots for every sensor are constrained to attain their applications bit rates in a global energy-efficient manner. The signal-to-noise ratio gap approximation is used in our exposition in order to jointly handle required bit rates, transmission energies, and symbol error rates.

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References

  1. 1.

    Sharp C, Schaffert S, Woo A, et al.: Design and implementation of a sensor network system for vehicle tracking and autonomous interception. Proceedings of the 2nd European Workshop on Wireless Sensor Networks (EWSN '05), January-February 2005, Istanbul, Turkey 93-107.

  2. 2.

    Werner-Allen G, Johnson J, Ruiz M, Lees J, Welsh M: Monitoring volcanic eruptions with a wireless sensor network. Proceedings of the 2nd European Workshop on Wireless Sensor Networks (EWSN '05), January-February 2005, Istanbul, Turkey 108-120.

  3. 3.

    Nordman MM, Lehtonen M: A wireless sensor concept for managing electrical distribution networks. Proceedings of IEEE PES Power Systems Conference and Exposition (PSCE '04), October 2004, New York, NY, USA 2: 1198-1206.

  4. 4.

    Bai H, Atiquzzaman M, Lilja D: Wireless sensor network for aircraft health monitoring. Proceedings of the 1st International Conference on Broadband Networks (BroadNets '04), October 2004, San Jose, Calif, USA 748-750.

  5. 5.

    Li Y, Panwar SS, Burugupalli S: A mobile sensor network using autonomously controlled animals. Proceedings of the 1st International Conference on Broadband Networks (BroadNets '04), October 2004, San Jose, Calif, USA 742-744.

  6. 6.

    Rajaravivarma V, Yi Y, Teng Y: An overview of wireless sensor network and applications. Proceedings of the 35th Southeastern Symposium on System Theory, March 2003, Morgantown, WVa, USA 432-436.

  7. 7.

    Hwang L-J, Sheu S-T, Shih Y-Y, Cheng Y-C: Grouping strategy for solving hidden node problem in IEEE 802.15.4 LR-WPAN. Proceedings of the 1st International Conference on Wireless Internet (WICON '05), July 2005, Budapest, Hungary 26-32.

  8. 8.

    Pekhteryev G, Sahinoglu Z, Orlik P, Bhatti G: Image transmission over IEEE 802.15.4 and ZigBee networks. Proceedings of IEEE International Symposium on Circuits and Systems (ISCAS '05), May 2005, Kobe, Japan 4: 3539-3542.

  9. 9.

    Gutierrez JA, Durocher DB: On the use of IEEE 802.15.4 to enable wireless sensor networks in pulp and paper industrys. Proceedings of Annual Pulp and Paper Industry Technical Conference, June 2005, Jacksonville, Fla, USA 105-110.

  10. 10.

    Hara S, Zhao D, Yanagihara K, et al.: Propagation characteristics of IEEE 802.15.4 radio signal and their application for location estimation. Proceedings of the 61st IEEE Vehicular Technology Conference (VTC '05), May-June 2005, Stockholm, Sweden 1: 97-101.

  11. 11.

    Timmons NF, Scanlon WG: Analysis of the performance of IEEE 802.15.4 for medical sensor body area networking. Proceedings of the 1st Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON '04), October 2004, Santa Clara, Calif, USA 16-24.

  12. 12.

    Yu Y, Krishnamachari B, Prasanna VK: Energy-latency tradeoffs for data gathering in wireless sensor networks. Proceedings the 23rd Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM '04), March 2004, Hong kong 1: 244-255.

  13. 13.

    Yao Y, Giannakis GB: Energy-efficient scheduling for wireless sensor networks. IEEE Transactions on Communications 2005,53(8):1333-1342. 10.1109/TCOMM.2005.852834

  14. 14.

    Haapola J, Shelby Z, Pomalaza-Raez C, Mahonen P: Cross-layer energy analysis of multihop wireless sensor networks. Proceeedings of the 2nd European Workshop on Wireless Sensor Networks (EWSN '05), January-Feburary 2005, Istanbul, Turkey 33-44.

  15. 15.

    Shelby Z, Pomalaza-Raez C, Haapola J: Energy optimization in multihop wireless embedded and sensor networks. Proceedings of the 15th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC '04), September 2004, Barcelona, Spain 1: 221-225.

  16. 16.

    Cui S, Goldsmith AJ, Bahai A: Energy-efficiency of MIMO and cooperative MIMO techniques in sensor networks. IEEE Journal on Selected Areas in Communications 2004,22(6):1089-1098. 10.1109/JSAC.2004.830916

  17. 17.

    Cui S, Goldsmith AJ, Bahai A: Energy-constrained modulation optimization. IEEE Transactions on Wireless Communications 2005,4(5):2349-2360.

  18. 18.

    Jurdak R, Baldi P, Lopes CV: State-driven energy optimization in wireless sensor networks. Proceedings of IEEE Systems Communications (ICW '05), August 2005, Montreal, Canada 356-363.

  19. 19.

    Evans SC, Van Stralen N, Hershey J, Tomlinson H: Energy minimization in wireless sensor networks through an adaptive connectionless scheduling protocol (adaptive CSP). Proceedings of IEEE Military Communications Conference (MILCOM '05), October 2005, Atlatnic City, NJ, USA 5: 2990-2996.

  20. 20.

    Chou C-F, Chuang K-T: CoLaNet: a cross-layer design of energy-efficient wireless sensor networks. Proceedings of IEEE Systems Communications (ICW '05), August 2005, Montreal, Canada 364-369.

  21. 21.

    Liang Q: Fault-tolerant and energy efficient wireless sensor networks: a cross-layer approach. Proceedings of IEEE Military Communications Conference (MILCOM '05), October 2005, Atlatnic City, NJ, USA 3: 1862-1868.

  22. 22.

    Lu X, Sun Y, Yu J, Yan W: An energy efficient cross-layer routing algorithm for wireless sensor networks. Proceedings of the 1st IEEE Conference on Industrial Electronics and Applications (ICIEA '06), May 2006, Singapore 1-5.

  23. 23.

    Kong I-Y, Hwang W-J: Lifetime maximization by cross-layer interaction in wireless sensor networks. Proceedings of the 8th International Conference Advanced Communication Technology (ICACT '06), February 2006, Phoenix Park, Korea 3: 2055-2060.

  24. 24.

    Kwon H, Kim TH, Choi S, Lee BG: A cross-layer strategy for energy-efficient reliable delivery in wireless sensor networks. IEEE Transactions on Wireless Communications 2006,5(12):3689-3699.

  25. 25.

    Karvonen H, Pomalaza-Raez C: A cross layer design of coding and awake/sleep periods in WSNS. Proceedings of the 17th IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC '06), September 2006, Helsinki, Finland 1-5.

  26. 26.

    IEEE Std 802.15.4-2003 IEEE Standard for Information technology—telecommunications and information exchange between systems—local and metropolitan area networks—specific requirements—part 15.4: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LR-WPANS).

  27. 27.

    Shen J, Yuan X, Shen L, Yao D, Liu H: An energy-efficient node for wireless sensor networks using software radio. Proceedings of the 6th IEEE International Conference on Electro/Information Technology (EIT '06), May 2006, East Lansing, Mich, USA 245-249.

  28. 28.

    Cioffi JM, Dudevoir GP, Eyuboglu MV, Forney GD Jr.: MMSE decision-feedback equalizers and coding—part II: coding results. IEEE Transactions on Communications 1995,43(10):2595-2604. 10.1109/26.469440

  29. 29.

    Armada AG: A simple multiuser bit loading algorithm for multicarrier WLAN. Proceedings of IEEE International Conference on Communications (ICC '01), June 2001, Helsinki, Finland 4: 1168-1171.

  30. 30.

    Wang AY, Cho S-H, Sodini CG, Chandrakasan AP: Energy efficient modulation and MAC for asymmetric RF microsensor systems. Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED '01), August 2001, Huntington Beach, Calif, USA 106-111.

  31. 31.

    Shih E, Cho S-H, Ickes N, et al.: Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. Proceedings of the 7th Annual International Conference on Mobile Computing and Networking (MOBICOM '01), July 2001, Rome, Italy 272-287.

  32. 32.

    Schurgers C, Aberthorne O, Srivastava MB: Modulation scaling for energy aware communication systems. Proceedings of the International Symposium on Low Power Electronics and Design (ISLPED '01), August 2001, Huntington Beach, Calif, USA 96-99.

  33. 33.

    Starr T, Cioffi JM, Silverman PJ: Understanding Digital Subscriber Line Technology. Prentice Hall PTR, Upper Saddle River, NJ, USA; 1999.

  34. 34.

    Johansson M: Diversity-enhanced equal access-considerable throughput gains with 1-bit feedback. Proceedings of the 5th IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC '04), July 2004, Lisbon, Portugal 6-10.

  35. 35.

    Janssen GJM, Stitger PA, Prasad R: Wideband indoor channel measurements and BER analysis of frecuency selective multipath channels at 2.4, 4.75 and 11.5 GHz. IEEE Transactions on Communications 1996,44(10):1272-1288. 10.1109/26.539768

  36. 36.

    Rappaport TS: Wireless Communications: Principles and Practice. 2nd edition. Prentice Hall PTR, Upper Saddle River, NJ, USA; 2002.

  37. 37.

    Armada AG: SNR gap approximation for M-PSK-based bit loading. IEEE Transactions on Wireless Communications 2006,5(1):57-60.

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Correspondence to J. Joaquín Escudero Garzás.

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Open Access This article is distributed under the terms of the Creative Commons Attribution 2.0 International License (https://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Garzás, J.J.E., Calzón, C.B. & Armada, A.G. An Energy-Efficient Adaptive Modulation Suitable for Wireless Sensor Networks with SER and Throughput Constraints. J Wireless Com Network 2007, 041401 (2007) doi:10.1155/2007/41401

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Keywords

  • Wireless Sensor Network
  • Time Slot
  • Modulation Scheme
  • Channel Gain
  • Transmission Energy