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Issue No.01 - January (2010 vol.21)
pp: 126-138
Chun Chen , Zhejiang University, Hangzhou
Xue Liu , McGill University, Montreal
Kougen Zheng , Zhejiang University, Hangzhou
Rui Chu , National University of Defense Technology, Changsha
Jiajun Bu , Zhejiang University, Hangzhou
We propose FIT, a flexible, lightweight, and real-time scheduling system for wireless sensor platforms. There are three salient features of FIT. First, its two-tier hierarchical framework supports customizable application-specific scheduling policies, hence, FIT is very flexible. Second, FIT is lightweight in terms of minimizing the thread number to reduce preemptions and memory consumption while at the same time ensuring system schedulability. We propose a novel Minimum Thread Scheduling Policy (MTSP) exploration algorithm within FIT to achieve this goal. Finally, FIT provides a detailed real-time schedulability analysis method to help check if application's temporal requirements can be met. We implemented FIT on MicaZ motes and carried out extensive evaluations. Results demonstrate that FIT is indeed flexible and lightweight for implementing real-time applications, at the same time, the schedulability analysis provided can predict the real-time behavior. FIT is a promising scheduling system for implementing complex real-time applications in sensor networks.
Real-time and embedded systems, hierarchical design, scheduling, wireless sensor networks.
Chun Chen, Xue Liu, Kougen Zheng, Rui Chu, Jiajun Bu, "FIT: A Flexible, Lightweight, and Real-Time Scheduling System for Wireless Sensor Platforms", IEEE Transactions on Parallel & Distributed Systems, vol.21, no. 1, pp. 126-138, January 2010, doi:10.1109/TPDS.2009.42
[1] 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,” Proc. ACM Int'l Conf. Embedded Networked Sensor Systems (SenSys), 2005.
[2] 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. Sensor Networks, vol. 2, no. 1, pp. 1-38, 2006.
[3] M. Li and Y. Liu, “Rendered Path: Range-Free Localization in Anisotropic Sensor Networks with Holes,” Proc. ACM MobiCom, 2007.
[4] M. Li, Y. Liu, and L. Chen, “Non-Threshold Based Event Detection for 3d Environment Monitoring in Sensor Networks,” IEEE Trans. Knowledge and Data Eng., vol. 20, no. 12, pp. 1699-1711, Dec. 2008.
[5] M. Li and Y. Liu, “Underground Coal Mine Monitoring with Wireless Sensor Networks,” ACM Trans. Sensor Networks, 2009.
[6] X. Liu, Q. Wang, L. Sha, and W. He, “Optimal QoS Sampling Frequency Assignment for Real-Time Wireless Sensor Networks,” Proc. IEEE Real-Time Systems Symp. (RTSS), 2003.
[7] J. Hill, R. Szewczyk, A. Woo, S. Hollar, D.E. Culler, and K.S.J. Pister, “System Architecture Directions for Networked Sensors,” Proc. ACM Conf. Architectural Support for Programming Languages and Operating Systems (ASPLOS), 2000.
[8] A. Dunkels, B. Grönvall, and T. Voigt, “Contiki—a Lightweight and Flexible Operating System for Tiny Networked Sensors,” Proc. IEEE Workshop Embedded Networked Sensors (EmNets), 2004.
[9] C.-C. Han, R. Kumar, R. Shea, and E. Kohler, M. Srivastava, “A Dynamic Operating System for Sensor Nodes,” Proc. ACM Int'l Conf. Mobile Systems, Applications, and Services (MobiSys), 2005.
[10] S. Bhatti, J. Carlson, H. Dai, J. Deng, J. Rose, A. Sheth, B. Shucker, C. Gruenwald, A. Torgerson, and R. Han, “MANTIS OS: An Embedded Multithreaded Operating System for Wireless Micro Sensor Platforms,” ACM/Kluwer Mobile Networks and Applications J., special issue on wireless sensor networks, vol. 10, pp. 563-579, 2005.
[11] P. Levis, D. Gay, V. Handziski, J.-H. Hauer, B. Greenstein, M. Turon, J. Hui, K. Klues, C. Sharp, R. Szewczyk, 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, Telecomm. Networks Group, Technical Univ. Berlin, 2005.
[12] A. Eswaran, A. Rowe, and R. Rajkumar, “Nano-RK: An Energy-Aware Resource-Centric RTOS for Sensor Networks,” Proc. IEEE Real-Time Systems Symp. (RTSS), 2005.
[13] H. Cha, S. Choi, I. Jung, H. Kim, and H. Shin, “RETOS: Resilient, Expandable, and Threaded Operating System for Wireless Sensor Networks,” Proc. ACM/IEEE Int'l Conf. Information Processing in Sensor Networks (IPSN), 2007.
[14] Q. Cao, T.F. Adbelzaher, and J.A. Stankovic, “The LiteOS Operating System: Towards Unix-Like Abstractions for Wireless Sensor Networks,” Proc. ACM/IEEE Int'l Conf. Information Processing in Sensor Networks (IPSN), 2008.
[15] W. Dong, C. Chen, X. Liu, K. Zheng, R. Chu, and J. Bu, “FIT: A Flexible, LIght-Weight, and Real-Time Scheduling System for Wireless Sensor Platforms,” Proc. IEEE/ACM Int'l Conf. Distributed Computing in Sensor Systems (DCOSS), 2008.
[16] G. Lipari, J. Carpenter, and S. Baruah, “A Framework for Achieving Inter-Application Isolation in Multiprogrammed Hard Real-Time Environments,” Proc. IEEE Real-Time Systems Symp. (RTSS), 2000.
[17] J. Regehr and J.A. Stankovic, “HLS: A Framework for Composing Soft Real-Time Schedulers,” Proc. IEEE Real-Time Systems Symp. (RTSS), 2001.
[18] J. Regehr, A. Reid, K. Webb, M. Parker, and J. Lepreau, “Evolving Real-Time Systems Using Hierarchical Scheduling and Concurrency Analysis,” Proc. IEEE Real-Time Systems Symp. (RTSS), 2003.
[19] E. Trumpler and R. Han, “A Systematic Framework for Evolving TinyOS,” Proc. IEEE Workshop Embedded Networked Sensors (EmNets), 2006.
[20] W.P. McCartney and N. Sridhar, “Abstractions for Safe Concurrent Programming in Networked Embedded Systems,” Proc. ACM Int'l Conf. Embedded Networked Sensor Systems (SenSys), 2006.
[21] C. Duffy, U. Roedig, J. Herbert, and C.J. Sreenan, “Adding Preemption to TinyOS,” Proc. Workshop Embedded Networked Sensors (EmNets), 2007.
[22] J.W.S. Liu, Real-Time Systems. Prentice Hall, 2000.
[23] T.-W. Kuo, Y.-H. Liu, and K.-J. Lini, “Efficient On-Line Schedulability Tests for Priority Driven Real-Time Systems,” Proc. IEEE Real Time Technology and Applications Symp. (RTAS), 2000.
[24] D.I. Katcher, S.S. Sathaye, and J.K. Strosnider, “Fixed Priority Scheduling with Limited Priority Levels,” IEEE Trans. Computers, vol. 44, no. 9, pp. 1140-1144, Sept. 1995.
[25] R. Cayssials, J. Orozco, J. Santos, and R. Santos, “Rate Monotonic Scheduling of Real-Time Control Systems with the Minimum Number of Priority Levels,” Proc. IEEE Euromicro Conf. Real-Time Systems (ECRTS), 1999.
[26] Y. Wang and M. Saksena, “Scheduling Fixed Priority Tasks with Preemption Threshold,” Proc. IEEE Conf. Real-Time Computing Systems and Applications (RTCSA), 1999.
[27] P. Puschner and A. Burns, “A Review of Worst-Case Execution-Time Analysis,” J. Real-Time Systems, vol. 18, nos. 2/3, pp. 115-128, May 2000.
[28] S. Mohan, F. Mueller, D. Whalley, and C. Healy, “Timing Analysis for Sensor Network Nodes of the Atmega Processor Family,” Proc. IEEE Real Time and Embedded Technology and Applications Symp. (RTAS), 2005.
[29] T. Adbelzaher, V. Sharma, and C. Lu, “A Utilization Bound for Aperiodic Tasks and Priority Driven Scheduling,” IEEE Trans. Computers, vol. 53, no. 3, pp. 334-350, Mar. 2004.
[30] T. Abdelzaher, G. Thaker, and P. Lardieri, “A Feasible Region for Meeting Aperiodic End-to-End Deadlines in Resource Pipelines,” Proc. IEEE Int'l Conf. Distributed Computing Systems (ICDCS), 2004.
[31] X. Liu and T. Abdelzaher, “On Non-Utilization Bounds for Arbitrary Fixed Priority Policies,” Proc. IEEE Real-Time and Embedded Technology and Applications Symp. (RTAS), 2006.
[32] L.C. DiPippo, V.F. Wolfe, L. Esibov, G. Cooper, R. Bethmangalkar, R. Johnston, B.M. Thuraisingham, and J. Mauer, “Scheduling and Priority Mapping for Static Real-Time Middleware,” Real-Time Systems, vol. 20, no. 2, pp. 155-182, 2001.
[33] D. Gay, P. Levis, R. von Behren, M. Welsh, E. Brewer, and D. Culler, “The nesC Language: A Holistic Approach to Networked Embedded Systems,” Proc. ACM Conf. Programming Language Design and Implementation (PLDI), 2003.
[34] B.L. Titzer, D.K. Lee, and J. Palsberg, “Avrora: Scalable Sensor Network Simulation with Precise Timing,” Proc. ACM/IEEE Int'l Conf. Information Processing in Sensor Networks (IPSN), 2005.
[35] L. Gu and J.A. Stankovic, “t-kernel: Providing Reliable OS Support to Wireless Sensor Networks,” Proc. ACM Int'l Conf. Embedded Networked Sensor Systems (SenSys), 2006.
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