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17 P Bonnet, J Gehrke, and P Seshadri Querying the physical world IEEE Personal Communications, 7:10 15, October 2000 18 L Schwiebert, S Gupta, and J Weinmann Research challenges in wireless networks of biomedical sensors In Proceedings of the 7th Annual International Conference on Mobile Computing and Networking, pages 151 165, ACM Press, 2001 19 Habitat monitoring on great duck island, from http://wwwgreatduckislandnet/, November 2004 20 R Szewczyk, J Polastre, A Mainwaring, and D Culler Lessons from a sensor network expedition In Proceedings of the 1st European Workshop on Wireless Sensor Networks (EWSN 04), January 2004 21 J Polastre Design and Implementation of Wireless Sensor Networks for Habitat Monitoring Master s thesis, University of California, Berkeley, May 2003 22 See at http://wwwbotanyhawaiiedu/pods/ 23 F Sivrikaya and B Yener Time synchronization in sensor networks: a survey IEEE Network, 18(4):45 50, July/August 2004 24 L Lamport.

Do [instructions] [Exit Do] [instructions] Loop [While condition]

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A section is de ned in Figure 17.11. Among the section overhead functions are:

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Time, clocks, and the ordering of events in a distributed system Communications of the ACM, July 1978 25 K M Chandy and L Lamport Distributed snapshots: Determining global states of distributed systems ACM Transactions on Computer Systems, February 1985 26 C J Fidge Partial orders for parallel debugging In ACM SIGPLAN/SIGOPS Workshop on Parallel 4 Distributed Debugging, 1985 27 F Mattern Virtual time and global states of distributed systems In International Workshop on Parallel and Distributed Algorithms, 1989 28 D L Mills Internet time synchronization: The network time protocol In Global States and Time in Distributed Systems, Zhonghua Yang and T Anthony Marsland (eds), pages 91 102, IEEE Computer Society Press, 1994 29 H Dai and R Han Tsync: A lightweight bidirectional time synchronization service for wireless sensor networks Mobile Computing and Communications Review, 8(1):125 139, 2004 30 J Elson, L Girod, and D Estrin.

Dealing with Form Data . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260 Mailto: . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 260 From Here . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 261

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Fine-grained network time synchronization using reference broadcasts In Proceedings of 5th Symposium on Operating Systems Design and Implementation (OSDI), pages 147 163, December 2002 31 J Elson and D Estrin Time synchronization for wireless sensor networks In Proceedings of the 2001 International Parallel and Distributed Processing Symposium (IPDPS), Workshop on Parallel and Distributed Computing Issues in Wireless and Mobile Computing, April 2001 32 S Ganeriwal, R Kumar, and M B Srivastava Timing-sync protocol for sensor networks In Proceedings of the 1st International Conference on Embedded Networked Sensor Systems (SenSys), pages 138 149, ACM Press, 2003 33 M L Sichitiu and C Veerarittiphan Simple, accurate time synchronization for wireless sensor networks In Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC 2003), Volume 2, pages 1266 1273, New Orleans, Louisiana, March 2003 34 J van Greunen and J Rabaey Lightweight time synchronization for sensor networks.

goal of all experiments is to minimize experimental error. Experimental error occurs when changes in the dependent variable are due to factors other than the influence of the independent variable. For example, if the experimenter is aware of the hypothesis that relaxation is superior to aerobic exercise in reducing test-taking anxiety, yet conducts both laboratory sessions with the research subjects, his or her biases may influence the results. The experimenter might behave differently toward the subjects in the relaxation condition, perhaps being more friendly to

5.1.2.1 Transaction Rede ned Previously, we de ned a transaction to be a collection of operations against the data items of a database without talking about any of the properties the transaction must satisfy. Now that we have introduced transaction atomicity, consistency, isolation, and durability, we need to re ne the de nition of a transaction. Jim Gray [Gray81] de nes a transaction as follows:

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In Proceedings of the 2nd ACM International Conference on Wireless Sensor Networks and Applications, pages 11 19, ACM Press, 2003..

operators are SI, JN (NJN), and DV. The following sections represent an overview of these operators.

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