skip to main content
research-article

Analyzing MAC protocols for low data-rate applications

Published:08 September 2010Publication History
Skip Abstract Section

Abstract

The fundamental WSN requirement to be energy-efficient has produced a whole range of specialized Medium Access Control (MAC) protocols. They differ in how performance (latency, throughput) is traded off for a reduction in energy consumption. The question “which protocol is best?” is difficult to answer because (i) this depends on specific details of the application requirements and hardware characteristics involved, and (ii) protocols have mainly been assessed individually with each outperforming the canonical S-MAC protocol, but with different simulators, hardware platforms, and workloads. This article addresses that void for low data-rate applications where collisions are of little concern, making an analytical approach tractable in which latency and energy consumption are modeled as a function of key protocol parameters (duty cycle, slot length, number of slots, etc.). By exhaustive search we determine the Pareto-optimal protocol settings for a given workload (data rate, network topology). Of the protocols compared we find that WiseMAC strikes the best latency vs. energy-consumption trade-off across the range of workloads considered. In particular, its random access scheme in combination with local synchronization does not only minimize protocol overhead, but also maximizes the available channel bandwidth.

References

  1. Bennett, F., Clarke, D., Evans, J., Hopper, A., Jones, A., and Leask, D. 1997. Piconet: Embedded mobile networking. IEEE Personal Communications 4, 5, 8--15.Google ScholarGoogle ScholarCross RefCross Ref
  2. Buettner, M., Yee, G., Anderson, E., and Han, R. 2006. X-MAC: A short preamble MAC protocol for duty-cycled wireless networks. In Proceedings of the 4th ACM Conference on Embedded Networked Sensor Systems (SenSys). ACM, New York, 307--320. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Chatterjea, S., van Hoesel, L., and Havinga, P. 2004. AI-LMAC: An adaptive, information-centric and lightweight MAC protocol for wireless sensor networks. In Proceedings of the 2nd International Conference on Intelligent Sensors, Sensor Networks and Information Processing.Google ScholarGoogle Scholar
  4. Deb, K. 2001. Multi-Objective Optimization Using Evolutionary Algorithms. Wiley, Chichester, UK. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. El-Hoiydi, A. 2002. Aloha with preamble sampling for sporadic traffic in ad hoc wireless sensor networks. In Proceedings of the IEEE International Conference on Communications (ICC). IEEE Computer Society Press, Los Alamitos, CA.Google ScholarGoogle ScholarCross RefCross Ref
  6. El-Hoiydi, A. and Decotignie, J.-D. 2004. WiseMAC: An ultra low power MAC protocol for multi-hop wireless sensor networks. In Proceedings of the 1st International Workshop on Algorithmic Aspects of Wireless Sensor Networks (ALGOSENSORS). Lecture Notes in Computer Science, vol. 3121. Springer-Verlag, Berlin, 18--31.Google ScholarGoogle Scholar
  7. Goense, D., Thelen, J., and Langendoen, K. 2005. Wireless sensor networks for precise Phytophthora decision support. In Proceedings of the 5th European Conference on Precision Agriculture (5ECPA). Uppsala, Sweden.Google ScholarGoogle Scholar
  8. Halkes, G., van Dam, T., and Langendoen, K. 2005. Comparing energy-saving MAC protocols for wireless sensor networks. Mobile Netw. Appl. 10, 5, 783--791. Google ScholarGoogle ScholarDigital LibraryDigital Library
  9. Halkes, G. and Langendoen, K. 2007. Crankshaft: An energy-efficient MAC-protocol for dense wireless sensor networks. In Proceedings of the 4th European Conference on Wireless Sensor Networks (EWSN'07). Delft, The Netherlands, 228--244. Google ScholarGoogle ScholarDigital LibraryDigital Library
  10. Halkes, G. and Langendoen, K. 2009. Experimental evaluation of simulation abstractions for wireless sensor network mac protocols. In Proceedings of the 14th IEEE International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD '09). IEEE Computer Society Press, Los Alamitos, CA.Google ScholarGoogle Scholar
  11. Hill, J. and Culler, D. 2002. Mica: A wireless platform for deeply embedded networks. IEEE Micro 22, 6, 12--24. Google ScholarGoogle ScholarDigital LibraryDigital Library
  12. Jamieson, K., Balakrishnan, H., and Tay, Y. 2006. Sift: A MAC protocol for event-driven wireless sensor networks. In Proceedings of the 3rd European Workshop on Wireless Sensor Networks (EWSN'06). 260--275. Google ScholarGoogle ScholarDigital LibraryDigital Library
  13. Lu, G., Krishnamachari, B., and Raghavendra, C. 2004. An adaptive energy-efficient and low-latency MAC for data gathering in sensor networks. In Proceedings of the International Workshop on Algorithms for Wireless, Mobile, Ad Hoc and Sensor Networks (WMAN). Santa Fe, NM.Google ScholarGoogle Scholar
  14. Mainwaring, A., Polastre, J., Szewczyk, R., Culler, D., and Anderson, J. 2002. Wireless sensor networks for habitat monitoring. In Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Application (WSNA). ACM, New York, 88--97. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Miller, M. and Vaidya, N. 2004. Minimizing energy consumption in sensor networks using a wakeup radio. In Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC'04). IEEE Computer Society Press, Los Alamitos, CA.Google ScholarGoogle Scholar
  16. Polastre, J., Hill, J., and Culler, D. 2004. Versatile low power media access for wireless sensor networks. In Proceedings of the 2nd ACM Conference on Embedded Networked Sensor Systems (SenSys'04). ACM, New York, 95--107. Google ScholarGoogle ScholarDigital LibraryDigital Library
  17. Rajendran, V., Obraczka, K., and Garcia-Luna-Aceves, J. 2003. Energy-efficient, collision-free medium access control for wireless sensor networks. In Proceedings of the 1st ACM Conference on Embedded Networked Sensor Systems (SenSys'03). ACM, New York, 181--192. Google ScholarGoogle ScholarDigital LibraryDigital Library
  18. Rhee, I., Warrier, A., Aia, M., and Min, J. 2005. Z-MAC: A hybrid MAC for wireless sensor networks. In Proceedings of the 3rd ACM Conference on Embedded Networked Sensor Systems (SenSys'05). ACM, New York, 90--101. Google ScholarGoogle ScholarDigital LibraryDigital Library
  19. Schurgers, C., Tsiatsis, V., Ganeriwal, S., and Srivastava, M. 2002. Optimizing sensor networks in the energy-latency-density design space. IEEE Trans. Mobile Comput. 1, 1, 70--80. Google ScholarGoogle ScholarDigital LibraryDigital Library
  20. Sun, Y., Gurewitz, O., and Johnson, D. 2008. Ri-mac: A receiver-initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks. In Proceedings of the 1st ACM Conference on Embedded Networked Sensor Systems (SenSys'03). ACM, New York, 1--14. Google ScholarGoogle ScholarDigital LibraryDigital Library
  21. Tolle, G., Polastre, J., Szewczyk, R., Culler, D., Turner, N., Tu, K., Burgess, S., Dawson, T., Buonadonna, P., Gay, D., and Hong, W. 2005. A macroscope in the redwoods. In Proceedings of the 3rd ACM Conference on Embedded Networked Sensor Systems (SenSys'05). ACM, New York, 51--63. Google ScholarGoogle ScholarDigital LibraryDigital Library
  22. van Dam, T. and Langendoen, K. 2003. An adaptive energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the 1st ACM Conference on Embedded Networked Sensor Systems (SenSys'03). ACM, New York, 171--180. Google ScholarGoogle ScholarDigital LibraryDigital Library
  23. van Hoesel, L. and Havinga, P. 2004. A lightweight medium access protocol (LMAC) for wireless sensor networks. In Proceedings of the 1st International Workshop on Networked Sensing Systems (INSS'04).Google ScholarGoogle Scholar
  24. Ye, W., Heidemann, J., and Estrin, D. 2002. An energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the 21st Conference of the IEEE Computer and Communications Societies (INFOCOM). 1567--1576.Google ScholarGoogle Scholar
  25. Ye, W., Silva, F., and Heidemann, J. 2006. Ultra-low duty cycle mac with scheduled channel polling. In Proceedings of the 4th ACM Conference on Embedded Networked Sensor Systems (SenSys'06). ACM, New York, 321--334. Google ScholarGoogle ScholarDigital LibraryDigital Library
  26. Zheng, T., Radhakrishnan, S., and Sarangan, V. 2005. PMAC: An adaptive energy-efficient MAC protocol for wireless sensor networks. In Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS'05). IEEE Computer Society Press, Los Alamitos, CA, 65--72. Google ScholarGoogle ScholarDigital LibraryDigital Library
  27. Zhong, L. C., Rabaey, J. M., and Wolisz, A. 2004. An integrated data-link energy model for wireless sensor networks. In Proceedings of the 2004 IEEE International Conference on Communications. IEEE Computer Society Press, Los Alamitos, CA, 3777--3783.Google ScholarGoogle Scholar

Index Terms

  1. Analyzing MAC protocols for low data-rate applications

          Recommendations

          Comments

          Login options

          Check if you have access through your login credentials or your institution to get full access on this article.

          Sign in

          Full Access

          • Published in

            cover image ACM Transactions on Sensor Networks
            ACM Transactions on Sensor Networks  Volume 7, Issue 2
            August 2010
            297 pages
            ISSN:1550-4859
            EISSN:1550-4867
            DOI:10.1145/1824766
            Issue’s Table of Contents

            Copyright © 2010 ACM

            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

            Publisher

            Association for Computing Machinery

            New York, NY, United States

            Publication History

            • Published: 8 September 2010
            • Accepted: 1 March 2010
            • Revised: 1 August 2009
            • Received: 1 July 2007
            Published in tosn Volume 7, Issue 2

            Permissions

            Request permissions about this article.

            Request Permissions

            Check for updates

            Qualifiers

            • research-article
            • Research
            • Refereed

          PDF Format

          View or Download as a PDF file.

          PDF

          eReader

          View online with eReader.

          eReader