Abstract
Wireless sensor networks are increasingly used in many emerging applications. This type of network is composed of hundreds of low-cost sensor nodes, but with a limited budget batteries, low communication range, limited throughput, reduced computing power, low memory and low storage capacity. Communication protocols are proposed in the literature to deal with technical challenges coming from low intrinsic resources of sensor nodes. In most of these studies, simulations comparing a proposed protocol with other existing protocols are performed to show that the proposed protocol provides overall better performance. However, the environmental specification that made these comparisons is very often neglected or non-existent. In this study we show that it is essential to have the simulation environment very well defined before considering whether a protocol provides better performance than others. To do this we use two duty cycle MAC protocols, the standard IEEE 802.15.4 and SlackMAC (a protocol that we proposed). The aim of the paper is not to make an exhaustive comparison of protocols. We intuitively know that SlackMAC provides a better overall performance than the standard. What we are trying to show is the gap between performances according to simulation conditions. We will mainly focus on the topologies used and the capture effect. The results draw attention to the fact that it is essential to clearly define the simulation environment and also to reconcile the chosen conditions with the results when comparing the performances of two protocols.
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References
IEEE 802.15: IEEE standard for local and metropolitan area networks - part 15.4: Low-rate wireless personal area networks (LR-WPANs). ANSI/IEEE, Standard 802.15.4 R2011 (2011)
Kanthe, A.M., Simunic, D., Prasad, R.: Effects of propagation models on AODV in mobile ad-hoc networks. Wireless Pers. Commun. 79(1), 389–403 (2014)
Alduais, M., Abdulwahab, N.: The performance evaluation of different logical topologies and their respective protocols for wireless sensor networks, Ph.D. dissertation, Universiti Tun Hussein Onn Malaysia (2015)
Aby, A.T., Guitton, A., Lafourcade, P., Misson, M.: History-based MAC protocol for low duty-cycle wireless sensor networks: the Slack-MAC protocol. EAI Endorsed Trans. Mob. Commun. Appl. (2016). European Union Digital Library, EUDL
Aby, A.T., Guitton, A., Lafourcade, P., Misson, M.: SLACK-MAC: adaptive MAC protocol for low duty-cycle wireless sensor networks. In: Mitton, N., Kantarci, M.E., Gallais, A., Papavassiliou, S. (eds.) ADHOCNETS 2015. LNICSSITE, vol. 155, pp. 69–81. Springer, Cham (2015). doi:10.1007/978-3-319-25067-0_6
Chalhoub, G., Guitton, A., Misson, M.: MAC specifications for a WPAN allowing both energy saving and guaranted delay - Part A: MaCARI: a synchronized tree-based MAC protocol. In: IFIP WSAN (2008)
Nguyen, K., Ji, Y., Yamada, S.: Low overhead MAC protocol for low data rate wireless sensor networks. Int. J. Distrib. Sens. Netw. (2013)
Ye, W., Heidemann, J., Estrin, D.: An energy-efficient MAC protocol for wireless sensor networks. In: Proceedings of the IEEE Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies, INFOCOM 2002, vol. 3, pp. 1567–1576. IEEE (2002)
Lu, G., Krishnamachari, B., Raghavendra, C.: An adaptive energy-efficient and low-latency MAC for tree-based data gathering in sensor networks. Wirel. Commun. Mob. Comput. 7, 863–875 (2007)
Song, W.Z., Huang, R., Shirazi, B., LaHusen, R.: TreeMAC: localized TDMA protocol for real-time high-data-rate sensor networks. Pervasive Mob. Comput. 5(6), 750–765 (2009)
Cunha, F.D., Cunha, I., Wong, H.C., Loureiro, A.A., Oliveira, L.B.: ID-MAC: an identity-based MAC protocol for wireless sensor networks. In: 2013 IEEE Symposium on Computers and Communications (ISCC), pp. 000 975–000 981. IEEE (2013)
Sun, Y., Du, S., Gurewitz, O., Johnson, D.B.: DW-MAC: a low latency, energy efficient demand-wakeup MAC protocol for wireless sensor networks. In: Proceedings of the 9th ACM International Symposium on Mobile Ad Hoc Networking and Computing. ACM, pp. 53–62 (2008)
Gu, Y., He, T.: Dynamic switching-based data forwarding for low-duty-cycle wireless sensor networks. IEEE Trans. Mob. Comput. 10(12), 1741–1754 (2011)
Cheng, L., Gu, Y., Niu, J., Zhu, T., Liu, C., Zhang, Q., Hel, T.: Taming collisions for delay reduction in low-duty-cycle wireless sensor networks. In: The 35th Annual IEEE International Conference on IEEE, IEEE INFOCOM 2016, pp. 1–9 (2016)
Polastre, J., Hill, J., Culler, D.: Versatile low power media access for wireless sensor networks. In: ACM Sensys, November 2004
Buettner, M., Yee, G.V., Anderson, E., Han, R.: X-MAC: a short preamble MAC protocol for duty-cycled wireless sensor networks. In: Proceedings of the 4th International Conference on Embedded Networked Sensor Systems, pp. 307–320. ACM (2006)
Moss, D., Levis, P.: BoX-MACs: exploiting physical and link layer boundaries in low-power networking. Computer Systems Laboratory, Stanford University, pp. 116–119 (2008)
Kim, G., Ahn, J.: On-demand synchronous X-MAC protocol. In: Computer Science and Software Engineering (JCSSE), pp. 1–6. IEEE (2016)
Sun, Y., Gurewitz, O., Johnson, D.B.: RI-MAC: a receiver-initiated asynchronous duty cycle MAC protocol for dynamic traffic loads in wireless sensor networks. In: ACM Sensys (2008)
Park, I., Lee, H., Kang, S.: RIX-MAC: an energy-efficient receiver-initiated wakeup MAC protocol for WSNs. KSII Trans. Internet Inf. Syst. 8(5) (2014)
Nguyen, K., Nguyen, V.-H., Le, D.-D., Ji, Y., Duong, D.A., Yamada, S.: A receiver-initiated MAC protocol for energy harvesting sensor networks. In: Jeong, Y.-S., Park, Y.-H., Hsu, C.-H., Park, J. (eds.) Ubiquitous Information Technologies and Applications. LNEE, vol. 280, pp. 603–610. Springer, Heidelberg (2014). doi:10.1007/978-3-642-41671-2_77
Wang, X., Zhang, X., Chen, G., Zhang, Q.: Opportunistic cooperation in low duty cycle wireless sensor networks. In: 2010 IEEE International Conference on Communications (ICC), pp. 1–5. IEEE (2010)
Yoo, H., Shim, M., Kim, D.: Dynamic duty-cycle scheduling schemes for energy-harvesting wireless sensor networks. IEEE Commun. Lett. 16(2), 202–204 (2012)
Aby, A.T., Guitton, A., Misson, M.: Study of blind rendez-vous in low power wireless sensor networks. In: 2014 IEEE 79th Vehicular Technology Conference (VTC Spring), pp. 1–5. IEEE (2014)
Network simulator 2 (2002). http://www.isi.edu/nsnam/ns
Mezghanni, M.S., Kandil, N., Hakem, N.: Performance study of IEEE 802.15. 4/4g waveforms over the mobile underground mine radio-channel. In: IEEE 84th Vehicular Technology Conference (VTC-Fall), pp. 1–6. IEEE (2016)
Simon, M.K., Alouini, M.: Outage performance of multiuser communication systems. In: Digital Communication over Fading Channels, 2nd edn., pp. 638–680 (2005)
Acknowledgment
This research was partially supported by the “Digital Trust” Chair from the University of Auvergne Foundation.
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Aby, A.T., Servajean, MF., Hakem, N., Misson, M. (2017). Impact of Simulation Environment in Performance Evaluation of Protocols for WSNs. In: Puliafito, A., Bruneo, D., Distefano, S., Longo, F. (eds) Ad-hoc, Mobile, and Wireless Networks. ADHOC-NOW 2017. Lecture Notes in Computer Science(), vol 10517. Springer, Cham. https://doi.org/10.1007/978-3-319-67910-5_24
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DOI: https://doi.org/10.1007/978-3-319-67910-5_24
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