事件驱动型无线传感器网络在工业监控中的应用研究
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摘要
作为现代信息采集的重要技术,无线传感器网络(WSN)从诞生以来,一直是研究和应用的热点。受到传感器节点自身资源的制约,WSN在工业监控领域的应用受到很大的限制。针对工业监控对于WSN的实时性和可靠性的要求,本文将事件驱动引入工业监控用WSN,为萤火虫时间同步算法添加自适应机制,提出自适应萤火虫时间同步算法做为时间同步算法,以基于最小跳数和最大可靠性的网络重传控制协议作为数据传输实时性和QoS的保证,并给出了数据传输瓶颈问题的解决方案。最后,将所有协议和算法结合到WSN协议栈中,加入跨层管理模块,提出了适用于工业监控的事件驱动型WSN协议栈,从而满足工业监控对WSN性能的要求。
As an important technology of modern information collection, Wireless Sensor Network (WSN) has been hot spots of research and application from its birth. Be bound by the resource of sensor node, the application of WSN in industrial monitoring field has been greatly restricted. In view of the requirements of real-time and reliability in industrial monitoring, this paper introduced event-driven to WSN, proposed self-adaptive fire fly time synchronization algorithm through added self-adaptive mechanism to fire fly time synchronization algorithm, designed the re-transmission control protocol which based on the minimum number of hops and the maximum reliability as the guarantee of the real-time and QoS, and given the solution of data transmission bottleneck. Finally, by integrated all protocols and algorithms into the WSN protocol stack and added cross-layer management module to protocol stack, proposed event-driven WSN protocol stack which meets the performance requirements of the WSN in the industrial monitoring fields.
As an important technology of modern information collection, Wireless Sensor Network (WSN) has been hot spots of research and application from its birth. Be bound by the resource of sensor node, the application of WSN in industrial monitoring field has been greatly restricted. In view of the requirements of real-time and reliability in industrial monitoring, this paper introduced event-driven to WSN, proposed self-adaptive fire fly time synchronization algorithm through added self-adaptive mechanism to fire fly time synchronization algorithm, designed the re-transmission control protocol which based on the minimum number of hops and the maximum reliability as the guarantee of the real-time and QoS, and given the solution of data transmission bottleneck. Finally, by integrated all protocols and algorithms into the WSN protocol stack and added cross-layer management module to protocol stack, proposed event-driven WSN protocol stack which meets the performance requirements of the WSN in the industrial monitoring fields.
引文
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[3] Mainwaring, J.Polastre, R.Szewczyk, D.Culler, J.Anderson. Wireless Sensor Networks for Habitat Monitoring. In: Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications, 2002. 88~97
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[9] C.Intanagonwiwat, R.Govindan, D.Estrin. Directed Diffusion: a Scalable and Robust Communication Paradigm for Sensor Networks. In: Proc. Acm Mobicom 2000. 56~67
[10] Wendi Rabiner Heinzelman, Anantha Chandrakasan, and Hari Balakrishnan. Energy-Efficient Communication Protocol for Wireless Microsensor Networks. In: Proceedings of the 33rd Hawaii International Conference on System Sciences, 2000
[11] A.Manjeshwar, D.P.Agarwal. TEEN: A Routing Protocol for Enhanced Efficiency in Wireless Sensor Networks. In: Proceedings 15th International Parallel and Distributed Processing Symposium., 2001. 2009~2015
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[13] H LUO, FAN YE, JCHENG, SLU, L ZHANG. TTDD: A Two-tier Data Dissemination Model for Large scale Wireless Sensor Network. Wireless Network,2005, 11(2):161~175
[14] Young-Bae Ko, Nitin H.VAidya. Location-Aided Routing(LAR) in mobile ad hoc networks. ACM/Baltzer Wireless Networks(WINET) Journal, 2000, 6(4):307-321.
[15] Ya Xu, John Heidemann, Deborah Estrin. Geography-informed Energy Conservation for Ad Hoc Routing. In: ACM SIGMOBILE 7/01, 2001. 70~84
[16] Brad Karp, H. T. Kung. GPSR: Greedy Perimeter Stateless Routing for Wireless Network. In: ACM/IEEE International Conference on Mobile Computing and Networking, 2000. 243~254
[17] Yan Yu, Ramesh Govindan, Deborah Estrin. Geographical and Energy Aware Routing: a recursive data dissemination protocol for wireless sensor networks. UCLA Computer Science Department Technical Report, 2001
[18] T.He et al. SPEED: A stateless protocol for real-time communication in sensor networks. In: Proceeding of the International Conference on Distributed Computing Systems, 2003.46~55
[19] E. Felemban, C. G Lee, E. Ekici, R. boder. Probabilistic QoS Guarantee in Reliability and Timeliness Domains in Wireless Sensor Networks. Proc of IEEE Infocom’05, 2005. 2646~2657
[20]程丽娟,王福豹,段渭军.无线传感器网络成对同步算法研究.计算机应用研究. 2007,9(24):246-249
[21] ELSON J, GIROD L, ESTRIN D. Fine-grained network time synchronization using reference broadcasts. In: Proceedings of the 5th Symposium on Operation Systems Design and Implementation, 2002. 147~163
[22] GANERIWAL S, KUMAR R, SRIVASTAVA M. Timing-sync protocol for sensor networks. In 1st ACM Conference on Embedded Networked Sensor Systems, 2003. 138~149
[23] Dai H, Han R. TSync: a lightweight bidirectional time synchronization service for wireless sensor networks. ACM Mobile Computing and Communications Review, 2004, 8(1): 125~139
[24] MIKLOS M, BRANISLAV K, GYULA S, AKOS L. The flooding time synchronization protocol. In 2th Acm Conference on Embedded Networked Sensor Systems, 2004. 39~49
[25] Li Q, RUS D. Global clock synchronization in sensor networks. IEEE Transactions on Computers, 2006, 55(2): 214~226
[26] HU A S, SERVETTO S D. On the scalability of cooperative time synchronization in pulse-connected networks. IEEE Transactions on Information Theory, 2006, 52(6): 2725~2748
[27] RENATO E M, STEVEN H S. Synchronization of pulse-coupled biologicaloscillator. SIAM Journal on Applied Mathematics, 1990, 50(6):1645~1662
[28] HONG Y, SCAGLIONE A. A scalable synchronization protocol for large scale sensor networks and its applications. IEEE Journal of Selected Areas in Communications, 2005, 23(5):1085~1099
[29] GEOFFREY W A, GEETIKA T., ANKIT P., MATT W., RADHIKA N. Firefly-Inspired Sensor Network Synchronicity with Realistic Radio Effects: Proceedings of the 3rd international conference on Embedded networked sensor systems ,2005. 142~153
[30] U ERNST, K PAWELZIK, T GEISEL, Delay-induced multistable synchronization of biological oscillators. Physical Review, 1998, 57(2):2150~2162.
[31] W. GERSTNER. Rapid phase locking in systems of pulse-coupled oscillators with delays. Physical review letters, 1996, 76(10):1755~1758
[32]张学,陆桑璐,陈贵海,陈道蓄,谢立.无线传感器网络的拓扑控制.软件学报2007,18(4):943~954
[33]刘林峰,金衫.无线传感器网络拓扑控制算法综述.计算机科学2008,35(3):6~12
[34] IEEE Computer Society. IEEE Standard for Information technology Telecommunication 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 (WPANs). IEEE, 2006
[35] Shizhuang L, Jingyu L, Yanjun F. ZigBee Based Wireless Sensor Networks and Its Applications in Industrial. IEEE International Conference on Automation and Logistics, 2007. 1979~1983.
[36]吕治安. ZigBee网络原理与应用.北京:北京航空航天大学出版社,2008
[37] Venkataraman M, Muralidharan K, Gupta P. Designing new architectures and protocols for wireless sensor networks: a perspective. IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2005. 35~45
[38] Schott W, Gluhak A, Presser M, Hunkeler U, Tafazolli R. e-SENSE Protocol Stack Architecture for Wireless Sensor Networks. Mobile and Wireless Communications Summit, 2007. 1~5
[39] Durresi A. Architectures for heterogeneous wireless sensor networks. IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications, 2005. 1289~1296
[40] S. Shakkotai, T. Rappaport, P. Karlsson. Cross-layer design for wireless network. IEEE Communications Magazine, 2003, 10(41): 74~80
[41] G. Pau, D. Maniezzo, S. Das, Y. Lim, J.Pyon, H. Yu, M. Gerla. A cross-layer framework for wireless LAN QoS support. International Conference on Information Technology: Research and Education, 2003. 331~334
[42]陈力军,毛莺池,陈道蓄,谢立.平均度约束的无线传感器网络拓扑控制.计算机学报,2007,30(9):1544~1549
[43]臧传真,范玉顺.面向监控和管理的无线传感器网络拓扑发现算法.计算机应用研究,2006(11):230~233
[44]李方敏,黄灿,吴学红.一种基于分簇的分布式无线传感器网络拓扑控制算法研究.传感技术学报,2008,21(6):1055~1060
[45] K.Jamieson, H.Balakrishnan, Y.C.Tay. Sift:A MAC Protocol for Event-Driven Wireless Sensor Networks. Lecture Notes in Computer Science, 2006. 260～275
[46] Ming Z, Zhigagng C, Zhihui G, Lianmin Z. HS-Sift: a Hybrid Spatial Correlation-based MAC for Event-driven Wireless Sensor Networks. First International Conference on Communications and Networking in China, 2006. 1~5
[47] Zhao M, Chen ZG, Zhang L, Ge ZH. HS-Sift: hybrid spatial correlation-based medium access control for event-driven sensor networks. Communications, IET 2007, 1(6): 1126~1132
[48]王天荆,杨震,胡海峰.基于空间相关性分析的事件驱动无线传感器网络分簇算法.电子与信息学报,2008,30(3):699～702
[49] Tashtarian F, Honary MT, Mazinani M, Haghighat AT, Chitizadeh J. An energy efficient data reporting scheme for wireless sensor networks. IEEE/ACS International Conference on Computer Systems and Applications, 2008. 223~228
[50]高迪,陈斌,裴丽莹,万江文.基于事件驱动的无线传感器网络动态分簇路由算法.系统仿真学报,2008,20(11):2836~2839
[51] Zhou H-y, Wu F, Hou K-m. An Event-driven Multi-threading Real-time Operating System Dedicated to Wireless Sensor Networks. International Conference on Embedded Software and Systems, 2008. 3~12
[52] Jindal A, Psounis K. Modeling spatially-correlated sensor network data. First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. 162~171
[53] Czarlinska A, Kundur D. Event-Driven Visual Sensor Networks: Issues in Reliability. IEEE Workshop on Applications of Computer Vision, 2008. 1~6
[54] Medeiros H, Park J, Kak A. A Light-Weight Event-Driven Protocol for Sensor Clustering in Wireless Camera Networks. First ACM/IEEE International Conference on Distributed Smart Cameras, 2007. 203~210
[55] Lu Y. First Passage Time Analysis in Event-Driven Wireless Sensor Networks. Future generation communication and networking, 2007. 397~401
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