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RACNet: a high-fidelity data center sensing network

Published: 04 November 2009 Publication History

Abstract

RACNet is a sensor network for monitoring a data center's environmental conditions. The high spatial and temporal fidelity measurements that RACNet provides can be used to improve the data center's safety and energy efficiency. RACNet overcomes the network's large scale and density and the data center's harsh RF environment to achieve data yields of 99% or higher over a wide range of network sizes and sampling frequencies. It does so through a novel Wireless Reliable Acquisition Protocol (WRAP). WRAP decouples topology control from data collection and implements a token passing mechanism to provide network-wide arbitration. This congestion avoidance philosophy is conceptually different from existing congestion control algorithms that retroactively respond to congestion. Furthermore, WRAP adaptively distributes nodes among multiple frequency channels to balance load and lower data latency. Results from two testbeds and an ongoing production data center deployment indicate that RACNet outperforms previous data collection systems, especially as network load increases.

References

[1]
C. L. Belady. In the data center, power and cooling costs more than the it equipment it supports. ElectronicsCooling magazine, 3(1), February 2007.
[2]
N. Burri, P. von Rickenbach, and R. Wattenhofer. Dozer: ultra-low power data gathering in sensor networks. In IPSN '07, 2007.
[3]
B.-R. Chen, K.-K. Muniswamy-Reddy, and M. Welsh. Ad-hoc multicast routing on resource-limited sensor nodes. In REALMAN '06, 2006.
[4]
G. Chen, W. He, J. Liu, S. Nath, L. Rigas, L. Xiao, and F. Zhao. Energy-aware server provisioning and load dispatching for connection-intensive internet services. In NSDI '08, 2008.
[5]
Time Synchronized Mesh Protocol. Available at http://www.dustnetworks.com/docs/TSMP_Whitepaper.pdf, 2006.
[6]
Federspiel Controls. http://www.federspielcontrols.com.
[7]
D. Ganesan, R. Cristescu, and B. Beferull-Lozano. Power-efficient sensor placement and transmission structure for data gathering under distortion constraints. In IPSN '04, 2004.
[8]
O. Gnawali, R. Fonseca, K. Jamieson, and P. Levis. Robust and efficient collection through control and data plane integration. Technical Report SING-08-02, 2008.
[9]
C. Hartung, R. Han, C. Seielstad, and S. Holbrook. Firewxnet: a multi-tiered portable wireless system for monitoring weather conditions in wildland fire environments. In MobiSys '06, 2006.
[10]
IEEE Standard for Information technology -- Telecommunications and information exchange between systems -- Local and metropolitan area networks. Specific requirements -- Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low-Rate Wireless Personal Area Networks (LR-WPANs). Available at http://www.ieee802.org/15/pub/TG4.html, May 2003.
[11]
S. Kim, R. Fonseca, P. Dutta, A. Tavakoli, D. Culler, P. Levis, S. Shenker, and I. Stoica. Flush: a reliable bulk transport protocol for multihop wireless networks. In SenSys '07, 2007.
[12]
S. Kim, S. Pakzad, D. Culler, J. Demmel, G. Fenves, S. Glaser, and M. Turon. Wireless sensor networks for structural health monitoring. In SenSys '06, 2006.
[13]
H. K. Le, D. Henriksson, and T. Abdelzaher. A control theory approach to throughput optimization in multi-channel collection sensor networks. In IPSN '07, 2007.
[14]
H. K. Le, D. Henriksson, and T. Abdelzaher. A practical multi-channel medium access control protocol for wireless sensor networks. In IPSN '08, 2008.
[15]
P. Levis, D. Gay, V. Handziski, J.-H. Hauer, B. Greenstein, M. Turon, J. Hui, K. Klues, R. S. Cory Sharp, J. Polastre, P. Buonadonna, L. Nachman, G. Tolle, D. Culler, and A. Wolisz. T2: A Second Generation OS For Embedded Sensor Networks. Technical Report TKN-05-007, Telecommunication Networks Group, Technische Universitat Berlin, 2005.
[16]
P. Levis, N. Lee, M. Welsh, and D. Culler. Tossim: accurate and scalable simulation of entire tinyos applications. In SenSys '03, 2003.
[17]
J. Liu, B. Priyantha, F. Zhao, C.-J. M. Liang, Q. Wang, and S. James. Towards fine-grained data center cooling monitoring using racnet. In HotEmNets'08, 2008.
[18]
T. Liu, C. M. Sadler, P. Zhang, and M. Martonosi. Implementing software on resource-constrained mobile sensors: experiences with impala and zebranet. In MobiSys '04, 2004.
[19]
S. Madden, M. J. Franklin, J. M. Hellerstein, and W. Hong. Tag: a tiny aggregation service for ad-hoc sensor networks. In OSDI '02, 2002.
[20]
M. Maróti, B. Kusy, G. Simon, and A. Lédeczi. The Flooding Time Synchronization Protocol. In SenSys '04, 2004.
[21]
A. Meliou, D. Chu, C. Guestrin, J. Hellerstein, and W. Hong. Data Gathering Tours in Sensor Networks. In Proceedings of IPSN, 2006.
[22]
R. Musaloiu-E., C.-J. M. Liang, and A. Terzis. Koala: Ultra-low power data retrieval in wireless sensor networks. In IPSN '08, 2008.
[23]
J. Paek and R. Govindan. Rate-Controlled Reliable Transport for Sensor Networks. In Sensys '07, 2007.
[24]
C. D. Patel, C. E. Bash, R. Sharma, M. Beitelmal, and R. Friedrich. Smart cooling of data centers. In InterPACK '03, Maui, Hawaii, June 2003.
[25]
J. Polastre, R. Szewczyk, and D. Culler. Telos: Enabling Ultra-Low Power Wireless Research. In IPSN '05, 2005.
[26]
S. Rangwala, R. Gummadi, R. Govindan, and K. Psounis. Interference-aware fair rate control in wireless sensor networks. In SIGCOMM '06, Sept. 2006.
[27]
Smart Works. http://www.smart-works.com.
[28]
K. Srinivasan, P. Dutta, A. Tavakoli, and P. Levis. Some implications of low power wireless to ip networking. In HotNets '06, Nov. 2006.
[29]
K. Srinivasan and P. Levis. RSSI is Under Appreciated. In EmNets '06, May 2006.
[30]
T. Stathopoulos, L. Girod, J. Heidemann, and D. Estrin. Mote herding for tiered wireless sensor networks. Technical Report CENS-TR-58, University of California, Los Angeles, Center for Embedded Networked Computing, December 2005.
[31]
SynapSense Corporation. LiveImaging: Wireless Instrumentation Solutions. Available from: http://www.synapsense.com/, 2008.
[32]
R. Szewczyk, A. Mainwaring, J. Polastre, J. Anderson, and D. Culler. An analysis of a large scale habitat monitoring application. In SenSys '04, 2004.
[33]
Texas Instruments. 2.4 GHz IEEE 802.15.4/ZigBee-ready RF Transceiver. Available at http://www.chipcon.com/files/CC2420_Data_Sheet_1_3.pdf, 2006.
[34]
Texas Instruments. MSP430x1xx Family User's Guide (Rev. F). Available at http://www.ti.com/litv/pdf/slau049f, 2006.
[35]
The Green Grid. The green grid data center power efficiency metrics: PUE and DCiE. Available at http://www.thegreengrid.org/gg_content/TGG_Data_Center_Power_Efficiency_Metrics_PUE_and_DCiE.pdf, 2007.
[36]
TinyOS. MultiHopLQI. Available from: http://www.tinyos.net/tinyos-1.x/tos/lib/MultiHopLQI, 2004.
[37]
G. Werner-Allen, S. Dawson-Haggerty, and M. Welsh. Lance: optimizing high-resolution signal collection in wireless sensor networks. In SenSys '08, 2008.
[38]
G. Werner-Allen, K. Lorincz, J. Johnson, J. Lees, and M. Welsh. Fidelity and yield in a volcano monitoring sensor network. In OSDI '06, 2006.
[39]
A. Woo, T. Tong, and D. Culler. Taming the underlying challenges of reliable multihop routing in sensor networks. In SenSys '03, 2003.
[40]
Y. Wu, J. Stankovic, T. He, and S. Lin. Realistic and efficient multi-channel communications in dense sensor networks. In INFOCOM '08, 2008.
[41]
N. Xu, S. Rangwala, K. K. Chintalapudi, D. Ganesan, A. Broad, R. Govindan, and D. Estrin. A wireless sensor network for structural monitoring. In SenSys '04, 2004.
[42]
J. Zhao and R. Govindan. Understanding Packet Delivery Performance In Dense Wireless Sensor Networks. In Sensys '03, 2003.
[43]
G. Zhou, C. Huang, T. Yan, T. He, J. A. Stankovic, and T. F. Abdelzaher. Mmsn: Multi-frequency media access control for wireless sensor networks. In INFOCOM '06, 2006.

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cover image ACM Conferences
SenSys '09: Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems
November 2009
438 pages
ISBN:9781605585192
DOI:10.1145/1644038
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Published: 04 November 2009

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Author Tags

  1. architecture
  2. congestion avoidance protocol
  3. data center
  4. energy
  5. green
  6. mote
  7. network protocol
  8. sensing
  9. sensor networks

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  • (2024)A Robust Reliable Low-Power High-Throughput Data Collection Wireless Sensor NetworkIEEE Sensors Journal10.1109/JSEN.2024.343101724:17(28210-28221)Online publication date: 1-Sep-2024
  • (2024)Integration of IoT and Edge Computing in Industrial SystemsAdvances in Computational Mathematics for Industrial System Reliability and Maintainability10.1007/978-3-031-53514-7_7(121-137)Online publication date: 25-Feb-2024
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