Kevin Klues
Chenyang Lu
ABSTRACT
Radio power management is of paramount concern in wireless sensor networks that must achieve long lifetimes on scarce amounts of energy. While a multitude of power management protocols have been proposed in the past, the lack of system support for flexibly integrating them with a diverse set of applications and network platforms has made them diffcult to use. Instead of proposing yet another power management protocol, this paper focuses on providing link layer support towards realizing a Unified Power Management Architecture (UPMA) for flexible radio power management in wireless sensor networks. In contrast to the monolithic approaches adopted by existing power management solutions, we provide (1) a set of standard interfaces that allow different power management protocols existing at the link layer to be easily implemented on top of common MAC level functionality, (2) an architectural framework for enabling these protocols to be easily swapped in and out depending on the needs of the applications that require them, and (3) a mechanism for coordinating the existence of multiple applications, each of which may have different requirements for the same underlying power management protocol. We have implemented these features on the Mica2 and Telosb radio stacks in TinyOS-2.0. Microbenchmark results demonstrate that the separation of power management from MAC level functionality incurs a negligible decrease in performance when compared to existing monolithic implementations. Two case studies show that the power management requirements of multiple applications can be easily coordinated, sometimes even resulting in better power savings than any one of them can achieve individually.
- G.-S. Ahn, E. Miluzzo, A.T. Campbell, S.G. Hong, and F. Cuomo. Funneling-mac: A localized, sink-oriented mac for boosting fidelity in sensor networks. In Sensys 2006. Google Scholar
Digital Library
- U. Berkeley. a network architecture for wireless sensor networks. http://webs.cs.berkeley.edu/SNA/.Google Scholar
- M. Buettner, G.V. Yee, E. Anderson, and R. Han. X-mac: A short preamble mac protocol for duty-cycled wireless sensor networks. In Sensys 2006. Google ScholarDigital Library
- A. Cerpa and D.Estrin.Ascent: Adaptive self-configuring sensor networks topologies. In INFOCOM 2002.Google ScholarCross Ref
- B. Chen, K. Jamieson, H. Balakrishnan, and R. Morris. Span: An energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks. In MobiCom 2001. Google ScholarDigital Library
- Chipcon. Cc2420 radio data sheet. 2004.Google Scholar
- A. El-Hoiyi, J.-D. Decotignie, and J. Hernandez. Wisemac: an ultra low power mac protocol for the downlink of infrastructure wireless sensor networks. Computer Communications 1:244--251, 2004. Google ScholarDigital Library
- J. Elson, L. Girod, and D. Estrin. Fine-grained network time synchronization using reference broadcasts. In OSDI'02: Proceedings of the 5th symposium on Operating systems design and implementation pages 147--163, New York, NY, USA, 2002. ACM Press. Google ScholarDigital Library
- S. Ganeriwal, R. Kumar, and M.B. Srivastava. Timing-sync protocol for sensor networks. In SenSys'03: Proceedings of the 1st international conference on Embedded networked sensor systems pages 138--149, New York, NY, USA, 2003. ACM Press. Google ScholarDigital Library
- T. He, S. Krishnamurthy, L. Luo, T. Yan, L. Gu, R. Stoleru, G. Zhou, Q. Cao, P. Vicaire, J.A. Stankovic, T.F. Abdelzaher, J.Hui, and B. Krogh. Vigilnet: An integrated sensor network system for energy-efficient surveillance. ACM Trans. Sen. Netw. 2(1):1--38, 2006. Google ScholarDigital Library
- IEEE. Wireless medium access control (mac) and physical layer (phy) specifications for low-rate wireless personal area networks (lr-wpans). In IEEE Standard 15.4 2003.Google Scholar
- K. Klues, G. Xing, and C. Lu. Towards a unified radio power management architecture for wireless sensor networks. In Proceedings of the First International Workshop on Wireless Sensor Network Architecture (WWSNA'07)Cambridge, MA, April 25-27 2007.Google Scholar
- M. Maroti,B. Kusy, G. Simon, and A. Ledeczi. The flooding time synchronization protocol. In SenSys'04: Proceedings of the 2nd international conference on Embedded networked sensor systems pages 39--49, New York, NY, USA, 2004. ACM Press. Google ScholarDigital Library
- J. Polastre, J. Hill, and D. Culler. Versatile low power media access for wireless sensor networks. In SenSys 2004. Google ScholarDigital Library
- J. Polastre, J. Hui, P. Levis, J. Zhao, D. Culler, S. Shenker, and I. Stoica. A unifying link abstraction for wireless sensor networks. In SenSys'05: Proceedings of the 3rd international conference on Embedded networked sensor systems pages 76--89, New York, NY, USA, 2005. ACM Press. Google ScholarDigital Library
- V. Rajendran, K. Obraczka, and J.J. Garcia-Luna-Aceves. Energy-efficient collision-free medium access control for wireless sensor networks. In SenSys 2003. Google ScholarDigital Library
- I. Rhee, A. Warrier, M. Aia, and J. Min. Z-mac:a hybrid mac for wireless sensor networks. In SenSys 2005. Google ScholarDigital Library
- I. Rhee, A. Warrier, J. Min, and L. Xu. Drand: distributed randomized tdma scheduling for wireless ad-hoc networks. In MobiHoc 2006. Google ScholarDigital Library
- P. Santi. Topology control in wireless ad hoc and sensor networks. ACM Comput. Surv. 37(2), 2005. Google ScholarDigital Library
- R. Szewczyk, A. Mainwaring, J. Polastre, J. Anderson, and D. Culler. An analysis of a large scale habitat monitoring application. In SenSys 2004. Google ScholarDigital Library
- G. Tolle, J. Polastre, R. Szewczyk, D. Culler, N. Turner, K. Tu, S. Burgess, T. Dawson, P. Buonadonna, D. Gay, and W. Hong. A macroscope in the redwoods. In SenSys 2005. Google ScholarDigital Library
- USC. A architecture for tiered wireless sensor networks. http://enl.usc.edu/projects/tenet/.Google Scholar
- T. van Dam and K. Langendoen. An adaptive energy-effcient mac protocol for wireless sensor networks. In SenSys 2003. Google ScholarDigital Library
- Y. Xu, J. Heidemann, and D. Estrin. Geography-informed energy conservation for ad hoc routing. In MobiCom 2001. Google ScholarDigital Library
- F. Ye, G. Zhong, S. Lu,and L. Zhang. Peas: A robust energy conserving protocol for long-lived sensor networks. In ICDCS 2003. Google ScholarDigital Library
- W. Ye, J. Heidemann, and D. Estrin. Medium access control with coordinated, adaptive sleeping for wireless sensor networks. IEEE/ACM Transactions on Networking June 2004. Google ScholarDigital Library
- W. Ye, F. Silva, and J. Heidemann. Ultra-low duty cycle mac with scheduled channel polling. In SenSys 2006. Google ScholarDigital Library
Index Terms
- Link layer support for unified radio power management in wireless sensor networks
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