Abstract
Wireless sensor nodes are increasingly being tasked with computation and communication intensive functions while still subject to constraints related to energy availability. On these embedded platforms, once all low power design techniques have been explored, duty-cycling the various subsystems remains the primary option to meet the energy and power constraints. This requires the ability to provide spurts of high MIPS and high bandwidth connections. However, due to the large overheads associated with duty-cycling the computation and communication subsystems, existing high performance sensor platforms are not efficient in supporting such an option. In this paper, we present the design and optimizations taken in a wireless gateway node (WGN) that bridges data from wireless sensor networks to Wi-Fi networks in an on-demand basis. We discuss our strategies to reduce duty-cycling related costs by partitioning the system and by reducing the amount of time required to activate or deactivate the high-powered components. We compare the design choices and performance parameters with those made in the Intel Stargate platform to show the effectiveness of duty-cycling on our platform. We have built a working prototype, and the experimental results with two different power management schemes show significant reductions in latency and average power consumption compared to the Stargate.
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References
Polastre, J., Hill, J., Culler, D.: Versatile low power media access for wireless sensor networks. In: SenSys 2004. Proceedings of the 2nd international conference on Embedded networked sensor systems, pp. 95–107. ACM Press, New York, NY, USA (2004)
Jejurikar, R., Gupta, R.: Dynamic voltage scaling for systemwide energy minimization in real-time embedded systems. In: ISLPED 2004. Proceedings of the 2004 international symposium on Low power electronics and design, pp. 78–81. ACM Press, New York (2004)
McIntire, D., Ho, K., Yip, B., Singh, A., Wu, W., Kaiser, W.J.: The low power energy aware processing (leap)embedded networked sensor system. In: the Fifth International Conference on Information Processing in Sensor Networks, Nashville, Tennessee, pp. 449–457. ACM Press, New York 1127846 (2006)
Stargate: http://www.xbow.com
Margi, C.B., Petkov, V., Obraczka, K., Manduchi, R.: Characterizing energy consumption in a visual sensor network testbed. In: 2nd International IEEE/Create-Net Conference on Testbeds and Research Infrastructures for the Development of Networks and Communities (2006)
Polastre, J., Szewczyk, R., Culler, D.: Telos: Enabling ultra-low power wireless research. In: The Fourth International Conference on Information Processing in Sensor Networks (2005)
Banerjee, N., Sorber, J., Corner, M.D., Rollins, S., Ganesan, D.: Triage: A power-aware software architecture for tiered microservers. Technical Report 05-22, University of Massachusetts-Amherst (April 2005)
Raghunathan, V., Pering, T., Want, R., Nguyen, A., Jensen, P.: Experience with a low power wireless mobile computing platform. In: The 2004 international symposium on Low power electronics and design, Newport Beach, California, pp. 363–368. ACM Press, New York 1013322 (2004)
Gu, L., Stankovic, J.: Radio-triggered wake-up capability for sensor networks. In: RTAS 2004. Real-Time and Embedded Technology and Applications Symposium, May 25-28, 2004, pp. 27–36. IEEE Computer Society Press, Los Alamitos (2004)
Agarwal, Y., Schurgers, C., Gupta, R.: Dynamic power management using on demand paging for networked embedded systems. In: Asia South Pacific Design Automation Conference (ASP-DAC 2005), China, pp. 755–759 (2005)
Pottie, G.J., Kaiser, W.J.: Wireless integrated network sensors. Commun. ACM 43(5), 51–58, 332838 (2000)
Rahimi, M., Baer, R., Iroezi, O.I., Garcia, J.C., Warrior, J., Estrin, D., Srivastava, M.: Cyclops: in situ image sensing and interpretation in wireless sensor networks. In: SenSys 2005. Proceedings of the 3rd international conference on Embedded networked sensor systems, pp. 192–204. ACM Press, New York (2005)
Schott, B., Bajura, M., Czarnaski, J., Flidr, J., Tho, T., Wang, L.: A modular power-aware microsensor with >1000x dynamic power range. In: IPSN 2005. Proceedings of the 4th international symposium on Information processing in sensor networks, Piscataway, NJ, USA, p. 66. IEEE Press, New York (2005)
802.11b Spec. 1999 edition: http://grouper.ieee.org/groups/802/11
Ubicom IP2022: http://www.ubicom.com
DPAC, WWW.dpactech.com
Ye, W., Heidemann, J., Estrin, D.: An energy-efficient mac protocol for wireless sensor networks. In: Infocom 2002, New York, pp. 1567–1576 (2002)
Hartung, C., Han, R., Seielstad, C., Holbrook, S.: Firewxnet: a multi-tiered portable wireless system for monitoring weather conditions in wildland fire environments. In: MobiSys 2006. Proceedings of the 4th international conference on Mobile systems, applications and services, pp. 28–41. ACM Press, New York (2006)
Pering, T., Raghunathan, V., Want, R.: Exploiting radio hierarchies for power-efficient wireless device discovery and connection setup. In: VLSID 2005. Proceedings of the 18th International Conference on VLSI Design held jointly with 4th International Conference on Embedded Systems Design, Washington, DC, pp. 774–779. IEEE Computer Society, Los Alamitos (2005)
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Jin, ZY., Schurgers, C., Gupta, R. (2007). An Embedded Platform with Duty-Cycled Radio and Processing Subsystems for Wireless Sensor Networks. In: Vassiliadis, S., Bereković, M., Hämäläinen, T.D. (eds) Embedded Computer Systems: Architectures, Modeling, and Simulation. SAMOS 2007. Lecture Notes in Computer Science, vol 4599. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73625-7_43
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DOI: https://doi.org/10.1007/978-3-540-73625-7_43
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