Abstract
The vision of the Internet of Things, wherein everyday objects are embedded with smart wireless sensor devices, is making these sensor devices increasingly pervasive. As the density of their deployment in overlapping or adjacent areas increases, the contention for the unlicensed 2.4GHz ISM band will also increase. To deal with the crowded spectrum, nodes must use the channels more judiciously and be able to adapt by detecting and switching to the most available channel. The SAS middleware that we have developed, is a self-adaptive spectrum management middleware for wireless sensor networks that enhances single-frequency MAC protocols with multi-frequency capability, without any change in hardware. It allows a single-frequency MAC protocol, like B-MAC, to automatically adapt to the least congested physical channel at runtime. SAS supports a combination of receiver-initiated and sender-initiated schemes to decide when to switch the channel and which channel to switch to. We have implemented the B-MAC protocol integrated with SAS in TinyOS 2.1 on TelosB sensor devices and evaluated its performance on the conditions of varied data flows and the interference produced by a jammer. The results demonstrate that the integrated B-MAC protocol outperforms B-MAC in terms of packet reception ratio, system throughput, average packet delay, and energy consumption.
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References
IEEE (1999). Wireless LAN medium access control (MAC) and physical layer (PHY) specification. ANSI/IEEE Std. 802.11.
IEEE (2002). Wireless medium access control (MAC) and physical layer (PHY) specifications for wireless personal area networks (WPANs). IEEE Std. 802.15.1.
IEEE (2003). Wireless medium access control (MAC) and physical layer (PHY) specifications for low-rate wireless personal area networks (LR-WPANs). IEEE Std. 802.15.4.
Zhou, G., Stankovic, J. A., & Son, S. F. (2006). Crowded spectrum in wireless sensor networks. In IEEE EmNets.
Selavo, L., Zhou, G., & Stankovic, J. A. (2006). See mote: In-site visualization and logging device for wireless sensor networks. In IEEE BASENETS.
Wang, F., Krunz, M., & Cui, S. (2007). Spectrum sharing in cognitive radio networks. Tech. Rep., University of Arizona.
So, J., & Vaidya, N. (2004). Multi-channel MAC for Ad-Hoc networks: handling multi-channel hidden terminal using a single transceiver. In ACM MobiHoc.
Mo, J., So, H., & Walrand, J. (2005). Comparison of multi-channel MAC protocols. In Symposium on modeling, analysis, and simulation of wireless and mobile systems.
Zhou, G., Lei, L., Krishnamurthy, S., Keally, M., & Rhen, Z. SAS: Self-adaptive spectrum management for wireless sensor networks. In Proceedings of international conference on computer communications and networks (ICCCN).
Polastre, J., Hill, J., & Culler, D. (2004). Versatile low power medium access for wireless sensor networks. In ACM SenSys.
Zhou, G., Huang, C., Yan, T., He, T., Stankovic, J. A., & Abdelzaher, T. F. (2006). MMSN: Multi-frequency media access control for wireless sensor networks. In IEEE INFOCOM.
Bahl, P., Chancre, R., & Dungeon, J.: SSCH: Slotted seeded channel hopping for capacity improvement in IEEE 802.11 Ad-Hoc wireless networks. In ACM MobiCom.
Raniwala, A., & Chiueh, T. (2005). Architecture and algorithm for an IEEE 802.11-based multi-channel wireless mesh network. In IEEE INFOCOM.
Adya, A., Bahl, P., Padhye, J., Wolman, A., & Zhou, L. (2004). A multi-radio unification protocol for IEEE 802.11 wireless networks. In BroadNets.
Li, J., Haas, Z. J., Sheng, M., & Chen, Y. (2003). Performance evaluation of modified IEEE 802.11 MAC for multi-channel multi-hop Ad Hoc network. In IEEE AINA 2003.
Jain, N., & Das, S. R. (2001). A multichannel CSMA MAC Protocol with receiver-based channel selection for multihop wireless networks. In IEEE IC3N.
Tzamaloukas, A., & Garcia-Luna-Aceves, J. J. (2001). A receiver-initiated collision-avoidance protocol for multi-channel networks. In IEEE INFOCOM.
Tang, Z., & Garcia-Luna-Aceves, J. J. (1999). Hop-reservation multiple access (HRMA) for Ad-Hoc networks. In IEEE INFOCOM.
Zhou, G., Wu, Y., Yan, T., He, T., Huang, C., Stankovic, J. A., & Abdelzaher, T. F. (2010). A multi-frequency MAC specially designed for wireless sensor network applications. In ACM TECS.
Wu, Y., Stankovic, J., He, T., Lu, J., & Lin, S. (2008). Realistic and efficient multi-channel communications in wireless sensor networks. In IEEE INFOCOM.
Zhou, G., Lu, J., Wan, C.-Y., Yarvis, M. D., & Stankovic, J. A. (2008). Bodyqos: Adaptive and radio-agnostic qos for body sensor networks. In INFOCOM.
Ren, Z., Zhou, G., Pyles, A., Keally, M., Mao, W., & Wang, H. (2011). Bodyt2: Throughput and time delay performance assurance for heterogeneous bsns. In INFOCOM.
Levis, P., Gay, D., Vlado, H., Hauer, J. H., Greenstein, B., Turon, M., et al. (2005). Technische Universitt Berlin, Crossbow Inc, and Arched Rock Corpration. T2: A second generation os for embedded sensor networks, Tech. Rep.
Polastre, J., Szewczyk, R., & Culler, D. (2005). Telos: Enabling ultra-low power wireless research. In ACM/IEEE IPSN/SPOTS.
Chang, J., & Maxemchuk, N. F. (1984). Reliable broadcast protocols. In ACM Transactions on computer systems.
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Thompson, R., Zhou, G., Lu, L. et al. A Self-Adaptive Spectrum Management Middleware for Wireless Sensor Networks. Wireless Pers Commun 68, 131–151 (2013). https://doi.org/10.1007/s11277-011-0443-z
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DOI: https://doi.org/10.1007/s11277-011-0443-z